263 answers about the Visylix platform, grouped by topic. If something is not covered here, ask us directly and we will add it.
Yes. A dry-run test shows exactly what a rule’s actions would do if it fired right now, with no side effects, including which physical action is held because the rule is not yet armed. Every real fire is also traced, so you can see afterwards precisely which actions ran, were held, or were skipped.
Yes. Ask an open question like "what happened at the loading dock this afternoon?" and Radha runs an agentic multi-step investigation: it autonomously chains person sightings, AI detections, system events, alerts, and video search into findings plus a time-sorted evidence timeline, and can turn the result into a structured, printable incident report.
Yes. Radha performs semantic video search from plain descriptions — "find a man in a red jacket near the entrance" or "was there a white van this morning" — and returns ranked, time-stamped matches you can play instantly. The search runs on an on-premise vision-language index; no footage or query ever leaves your network.
Yes. Radha can look at any live camera or snapshot and describe the scene using an on-premise vision model ("what is happening on the office camera right now?"), and accepts spoken questions through fully local speech-to-text. Both run on your hardware — no cloud vision or speech APIs are ever used.
Only with the operator in the loop. Acknowledging an alert, or dismissing it with a one-tap reason (false alarm, fog or steam, known person, duplicate), feeds the alarm-quality board, which then surfaces a one-click apply-retune suggestion. An operator has to approve it before a noisy source has its threshold raised by a bounded step. Separately, motion, audio, crowd, and camera-tampering detection build per-camera scene baselines and anomaly detection trains per camera. Every adaptation is bounded, reversible, runs on-premise, and survives restarts. Nothing retrains itself from operator feedback, nothing leaves your building, and we do not claim a false-positive reduction figure.
Yes. A rule can cross a video condition with an access-control event from your ACS. For example, a person detected on a camera correlated with a denied badge at the same door surfaces a likely forced-entry or tailgating attempt as a single alert on one wall. Sudarshan reuses the door-to-camera mapping already provided by the access-control integration, and the correlation runs on-premise.
Yes, as a v1 cross-camera appearance search. Pick a person from any detection and Visylix finds appearance matches on your other cameras within a time window and assembles a chronological journey with travel times between cameras. It is appearance-based (visual similarity) and returns candidates for operator review, not automatic identity assertions. A purpose-trained re-identification model for higher precision is in our training pipeline. Vehicle plate journeys are exact, since a plate is a precise identifier.
Yes. Rules combine conditions with ANY (OR) or ALL (AND); an ALL rule fires only when every condition co-occurs on the same camera inside a time window. Actions include glowing the tile, notifying a channel, starting a recording, and calling a webhook, SIEM, PSIM or MQTT. Irreversible physical actions such as a siren or an access-control door lock are held disarmed until an administrator explicitly arms the rule, so the alert always fires but the physical action requires a deliberate human decision first.
Yes. Radha learns each site's vocabulary — tell her once to "call this camera the gate cam" and every future conversation understands the nickname. She remembers per-user preferences, learns from thumbs-up/down feedback and corrections, and improves the longer your team uses her. All learning is stored on your own hardware and never leaves the deployment.
No. Radha runs entirely on premise: the purpose-built on-premise language model, the vision model, and speech-to-text all execute on your hardware. Radha has no internet access by design and works in fully air-gapped environments — government facilities, defense installations, and classified networks use it without modification.
No. All inference, watch evaluation, and overlay assembly run inside your own infrastructure. No frames, detections, or watches are sent to any external service, so Sudarshan works in fully air-gapped, on-premise deployments without modification. Overlay delivery is sub-second, with server-side fan-out measured under 2 milliseconds at p95.
In a bounded, on-premise, operator-supervised way. Motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions on the alarm-quality board that an operator reviews and approves; the system does not retrain itself from operator feedback, and for safety detectors an approved retune can only make them more conservative, never less. The other models are conventional trained models that do not adapt in place. Nothing leaves the premises, and every adaptation is reversible and survives restarts. We do not claim a false-positive reduction figure.
Yes. Line Crossing Detection produces in, out, and net people counts per line with hourly breakdowns on a dashboard, not just individual crossing events, the directional counting product that retail and facilities teams expect.
Yes. Queue and Wait-Time Analytics reports the current line length, the live service rate (how fast the queue is actually clearing), and a predicted wait time for someone joining the queue now, computed from that clearing rate, alongside average and maximum wait. It alerts when a line grows past your threshold so staff can open another counter before customers leave.
No. Visylix AI is fully on-premise. All inference, learning, scene baselines, face templates, and cross-camera search run on your own hardware and work in air-gapped deployments. Your video and model adaptation never leave your building.
Radha enforces role-based permissions, per-camera access restrictions, and licence entitlements on every tool call, and writes every AI action to the audit trail. Destructive actions (deleting cameras, arming rules, restarting services) require an explicit user confirmation that names the exact target and is enforced server-side — the model cannot approve its own actions. Person searches based on race, ethnicity, or religion are refused, and prompt-injection attempts are blocked and audited.
Every overlay frame is filtered on the server against your licence before it is sent. Unlicensed model data never reaches the browser, so the boundary cannot be bypassed from the client or by inspecting network traffic. Overlays are also scoped per camera and appear only on cameras explicitly configured for AI. Live Intelligence is included with Visylix AI licences.
Sudarshan scores every alert for dispatch priority and measures which alert sources actually earn an operator response, then suggests retunes for the noisy ones. This turns a firehose of alerts into a ranked, actionable queue. The scoring is inspired by ISA-18.2 alarm rationalization and AVS-01 dispatch scoring, and is designed to help operators, not to certify compliance.
The classic failure in rule engines is a rule that looks configured but never fires because the condition it references drifted apart from what the engine actually evaluates. Sudarshan makes that impossible by construction: the builder only offers a condition when the AI model behind it is licensed and enabled on every selected camera, the condition vocabulary is the exact set the engine evaluates and is pinned by contract tests, and a rule that has never fired, has an unarmed physical action, or references a now-unlicensed model is surfaced on a health board. A dead rule is caught, never hidden.
By default Visylix Tailgating Detection counts how many people pass through a secured door during an access event, from video alone, and flags group crossings. Opt in to badge-to-body correlation with a supported access-control system (HID, Lenel S2, AMAG, Brivo, Genea, Bosch) and Visylix compares how many people crossed the door with how many badges were presented, alerting only when more people entered than credentials, which is the true tailgating signal.
Most systems either draw boxes on every camera until the wall is unreadable, or hide AI behind a separate analytics tab. Sudarshan puts live overlays only where the operator is looking and a quiet, glanceable signal everywhere else. It also treats the live feed as sacred: overlays are a thin translucent layer that never covers, freezes, or degrades the video, and stale overlay data fades out rather than misleading the operator.
Radha commands 77 operational tools covering every Visylix feature: live operations (streams, recordings, snapshots, playback, PTZ), AI answers across all 22 models, semantic video search, multi-step investigations, watches and automation rules, daily briefings and incident reports, forensics and evidence locks, and full administration including camera onboarding, user management, face and plate enrollment, zones, integrations, licensing, and service restarts.
Sudarshan supports six live watch condition types: specific faces, specific plates, plate patterns, an object class inside a named zone (with minimum count and dwell time), line crossings in a chosen direction, and free-text semantic search over what the camera sees. You describe the condition in plain language and Sudarshan arms a live watch that flags the exact moment it happens on the wall.
Sudarshan Rules is a visual automation builder inside Sudarshan. Where a watch flags a moment for an operator, a rule acts on it automatically, around the clock. You build a rule as IF a condition, WHEN a schedule, THEN an action: for example, IF a person is detected on the loading dock, WHEN it is after 22:00, THEN glow the tile, notify the guard, and start a recording. It is designed for the people who run the video wall, with no scripting or query language.
Sudarshan is Visylix Live Intelligence: a real-time AI layer over your video wall that scales detail to operator attention. The feed an operator is focused on gets rich, live overlays (bounding boxes, tracks, faces, plates, zones, lines), while every other tile stays clean and shows only a signal when something needs attention. It also lets operators watch for anything in plain language and delivers alerts in context. It is named for the Sudarshan Chakra, the ever-vigilant, all-seeing discus.
Cloud VMS vendors run their AI assistants in their cloud; on-premise vendors ship search boxes at most. Radha is a complete copilot — conversational control, semantic search, agentic investigation, vision, voice, reports, and administration — running 100% on premise. It answers in 55+ languages, remembers the site vocabulary your team teaches her, and is governed by confirmation gates, query moderation, and a full audit trail.
Sudarshan draws live bounding boxes for twelve models on the focused feed: object detection, person tracking, face recognition, ANPR plate reading, pose estimation, PPE hard-hat compliance, intrusion zones, line crossing, crowd counting, fire and smoke, weapon (gun and knife), and abandoned object. Weapon boxes are shown only after temporal confirmation, so a single-frame false positive never flashes on the feed. Models that have no bounding box, such as acoustic events (gunshot, glass-break, scream), scene-level anomaly detection, camera tampering, and tailgating, still signal on the same wall through the alert lane with a tile ring, a rail entry, and a one-click drill-in.
Every SSO login writes a signed audit record: timestamp, user principal, source IP, IdP name, assertion ID, and assigned role. Logs are retained per your retention policy and can be streamed to your SIEM (Splunk, Datadog, Elastic, Sumo Logic) via our webhook or syslog forwarder. This is critical for SOC 2, ISO 27001, and HIPAA compliance audits.
Yes. Every redaction is an async job queued in the engine. You POST a job, get a job ID, and poll the status endpoint for progress percentage and estimated time remaining. Cancel at any time, partially-rendered output is discarded. For long investigations, you can queue dozens of jobs and the engine chews through them in parallel based on available GPU / CPU resources.
Yes. Every share link can be revoked at any time from the admin console, instantaneously invalidates the token, blocks further access, and writes a revocation event into the audit log. You can also see live access stats per share (views, downloads, last access) and choose to extend or shorten the expiry without generating a new link.
Yes. Visylix is fully air-gap compatible and can operate without any internet connection after initial installation. All AI inference, video processing, and management functions run locally with no external dependencies.
Yes, and the deployment model is the reason. Because Visylix runs as a Docker image on infrastructure you control, including fully air-gapped, personal data never has to leave your premises for processing. That removes the cross-border transfer question rather than mitigating it. Your obligations around lawful basis, access control, retention and breach notification remain yours regardless of where the software runs.
Yes. Because Visylix is vendor-neutral and speaks ONVIF plus 13 streaming protocols, you can stage a migration rather than replace an entire estate at once. Compliant cameras can be onboarded alongside existing units, and NVR forensic access across 15+ brands including OEMs lets you keep reaching historical footage on legacy recorders during the transition.
Yes. Organization-wide enforcement is one toggle. You can also enforce by role, "require MFA for admins" is the most common policy, or by group synced from SSO. Users who have not enrolled are prompted on their next login and blocked from viewing cameras until they complete enrollment.
Yes. Once SSO is verified working, you can enforce SSO-only for any or all users, which disables password login entirely. A configurable "break-glass" local admin account is preserved for disaster recovery (lockout protection). Break-glass logins are heavily audit-logged and can trigger alerts to a SOC.
Yes. WebAuthn / FIDO2 authentication is performed entirely between the browser and the Visylix backend, no external identity service required. Passkeys work in fully air-gapped deployments as long as the browser is modern (Chrome 109+, Safari 16.4+, Firefox 119+, Edge 109+). Platform authenticators like iCloud Keychain sync across your own devices; hardware keys like YubiKey are self-contained.
Yes. Every action in Visylix is logged with a timestamp, IP address, user agent, and detailed action information. The comprehensive audit trail covers user logins, configuration changes, evidence access, and all administrative operations.
Yes. Visylix supports optional per-user two-factor authentication (2FA) for an additional layer of security beyond password-based login. 2FA can be enabled or disabled on a per-user basis by administrators.
Yes. Visylix provides four built-in roles: Super Admin, Admin, Operator, and Viewer. Each role has granular permissions across 30+ permission categories covering live view, recordings, camera configuration, AI configuration, and system settings.
Not on an on-premise deployment. All 22 AI analytics and the Radha copilot execute locally on your hardware. Many platforms describe themselves as on-premise while still calling out to a hosted service for inference or for the assistant; Visylix does not, which is what makes air-gapped operation possible.
No, and any vendor implying otherwise is overselling. Section 889 is primarily about equipment. A compliant VMS is a necessary component but not sufficient on its own. Your cameras, NVRs, encoders, and network gear all sit in scope. What a VMS can do is avoid adding new exposure, support you in operating compliant hardware, and let you keep using existing non-covered cameras rather than forcing a rip-and-replace.
An operator generates a share link for a locked clip. The link carries a short-lived, cryptographically-signed token. Recipient opens the link, no Visylix account required, and can view (or download, depending on policy) the clip until the token expires. Every access is logged: timestamp, source IP, user agent, referrer. Starter tier supports one recipient per share. Pro supports multiple named recipients with per-recipient expiry and per-recipient access logs. All shared playback carries a visible watermark with the case ID and recipient name.
Face recognition is available but should be treated as a policy decision rather than a default. Several jurisdictions, including Illinois under BIPA and the EU under GDPR Article 9, treat biometric data as a special category with consent and retention requirements. In deployments where biometrics are not required, intrusion, loitering, line crossing and crowd analytics answer most operational questions without processing biometric data at all.
Visylix supports dynamic privacy masks that black out configurable regions in both live view and recordings. Masks are applied server-side before video reaches any viewer, ensuring privacy enforcement cannot be bypassed. Each camera can have its own mask configuration.
You select a clip and pick a redaction preset, faces, license plates, or both. The Visylix engine decodes the clip (H.264 or H.265 input), runs the relevant detector (Face AI for faces, ANPR for plates), applies a colour-true polygon-precise blur to each detected region, then re-encodes to H.264 MP4 with a SHA-256 integrity hash. The whole pipeline runs in a single process, no external transcoder subprocess, no Python video bridge, so a 10-minute clip redacts in roughly 90 seconds on a typical VMS host.
Five failed MFA attempts within 15 minutes lock the account for 15 minutes. After lockout, the counter resets but the source IP is tracked for anomaly detection. Excessive failures across many accounts from a single IP trigger an automatic SOC alert and temporary IP ban. All failures are audit-logged with the attempted factor type, source IP, and user agent.
When a user signs in via SSO, Visylix reads the SAML attribute or OIDC claim you designate (typically a "groups" or "roles" claim). You map those IdP group names to Visylix RBAC roles. A user in IdP group "Security-Operators" automatically receives the Visylix "operator" role on each login. Roles update on every sign-in, so removing a user from an IdP group immediately revokes their VMS permissions on next login.
Most customers go from "first click" to "employees signing in with SSO" in under 15 minutes. You paste your IdP metadata URL into the Visylix admin console, map IdP groups to VMS roles (admin, operator, viewer, custom), and enable Just-In-Time (JIT) provisioning. No manual user sync, no SCIM setup required for the basic flow.
Detections return bounding boxes from the AI model, then a polygon-precise clip is applied using ray-casting point-in-polygon tests. This means only pixels inside the detected region are blurred, background context is preserved. For faces, the polygon tracks head rotation frame-to-frame. For plates, the polygon follows the plate's bounding quad. No rectangular over-blur, no accidentally covered evidence.
Yes. Visylix supports on-premise deployment for complete data sovereignty with no cloud dependency required. Configurable retention policies with automatic cleanup ensure data minimization. Dynamic privacy masking protects personal data in video streams.
Visylix is software and is camera-agnostic, so NDAA Section 889 questions attach to the cameras and recorders you deploy, not to the VMS. Visylix does not require or bundle any specific camera hardware, which means it can be run entirely on NDAA-conformant equipment of your choosing.
No. Visylix holds no formal security certification today, and we will not imply otherwise. What it provides are the technical controls those frameworks assess: on-premise or air-gapped deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock with SHA-256 hashing, and full audit logging of every operator action. Formal certification is on the roadmap.
The SHA-256 hash and the signed audit log together provide the chain-of-custody documentation that most jurisdictions require for video evidence. Visylix produces court-export bundles that include the clip, the hash, the audit log, metadata about the capturing camera (make, model, firmware, RTSP URL, location), and a human-readable timeline of custody events. Admissibility is ultimately determined by the court and jurisdiction, but Visylix provides the technical artifacts prosecutors and defense attorneys will ask for.
No. The redaction re-encodes the video with blurred regions baked into the compressed bitstream. There is no reverse transform. This is intentional, redaction is only valid for compliance and evidence sharing if it cannot be undone. The SHA-256 hash on the output file provides tamper-evidence: if a single byte changes after redaction, the hash changes, and downstream systems can detect it.
Three classes. Time-based OTP (TOTP) via Google Authenticator, Authy, 1Password, or any RFC 6238 app, available on Starter and above. WebAuthn / FIDO2 passkeys via hardware keys (YubiKey, SoloKey, Feitian) and platform authenticators (iCloud Keychain, Windows Hello, Android biometric, Google Password Manager, 1Password), available on Pro and above. Backup recovery codes issued when MFA is first enabled, 10 codes, hashed with Argon2id, single-use.
Every view, export and configuration change is written to an audit log against the operator who performed it. Recordings can be hashed with SHA-256 and locked so retention rules cannot delete them while an investigation is open, which supports a chain-of-custody record. Logs can be streamed to a SIEM such as Splunk, Elastic or Datadog via webhook or syslog.
It prevents a clip from being auto-deleted by the retention policy. When you lock a clip, Visylix marks it as "held", the nightly retention job skips it even when it is older than the configured retention window. On Pro and above, locking also computes a SHA-256 hash of the clip bytes and writes it to the clip metadata. Any later modification changes the hash, proving tampering. The hash, plus every subsequent access, forms a chain-of-custody trail visible in the admin audit log.
Visylix enforces TLS 1.2+ for all external connections with TLS 1.0/1.1 disabled. WebRTC media streams use DTLS-SRTP with ECDSA P-256 certificates. All stored credentials are encrypted with AES-256 (Fernet). HTTPS is enforced across the dashboard, API, and all management interfaces.
Users receive 10 single-use recovery codes when MFA is first enabled. Each code is hashed with Argon2id and stored one-way, Visylix cannot recover lost codes and neither can we. Admins can also reset MFA for a user, which triggers a full re-enrollment on next login and is heavily audit-logged. For regulated environments, you can disable admin reset entirely and require break-glass + two-admin approval.
Section 889 of the US National Defense Authorization Act restricts federal agencies, and anyone contracting with them, from procuring or using certain Chinese-manufactured telecommunications and video surveillance equipment. Part A bans the federal government from buying it. Part B, effective August 2020, is the far-reaching one: it bars the government from contracting with any entity that uses that equipment anywhere in its operations, even on unrelated systems and even when the government is not paying for it.
Evidence management in Visylix includes timestamped bookmarks with headlines, descriptions, 6 color-coded priorities, and tags. Evidence locks make recordings tamper-proof with SHA-256 integrity verification. Full chain of custody tracks who locked evidence, when, and why.
Starter gets basic Evidence Lock, a clip marked locked cannot be auto-deleted. Pro adds SHA-256 chain-of-custody (hash computed at lock time and verified on every access), time-limited external share links, visible watermark on shared clips, and the ability to designate multiple recipients with custom per-recipient expiry. Enterprise adds programmatic API access for case-management integrations and court-export bundles that ship with the full audit log packaged alongside the clip.
Wherever you put it. Visylix does not host your video. It runs on your servers, your virtual machines or your own cloud account, and recordings are written to storage you control, with retention configurable per camera and per site. There is no Visylix-operated cloud holding customer footage.
Any IdP that speaks SAML 2.0 or OpenID Connect (OIDC). We have tested turn-key flows with Okta, Azure AD / Microsoft Entra ID, Google Workspace, Auth0, OneLogin, Keycloak, PingFederate, JumpCloud, and Duo SSO. If you can share a SAML metadata URL or an OIDC discovery document, we can federate with you.
Face redaction is included on Scale and Enterprise (requires Face AI). Plate redaction is included on Scale and Enterprise with the ANPR add-on (requires ANPR). Enterprise tier gets both face and plate redaction together, plus polygon editing tools for manual redaction of arbitrary regions (useful for exposed whiteboards, screens, or sensitive documents captured in frame).
The statute names Huawei, ZTE, Hytera, Hangzhou Hikvision, and Dahua Technology, along with their subsidiaries and affiliates. The affiliate and OEM dimension is what catches most buyers: a camera sold under a different brand may still be a rebadged unit from a covered manufacturer. Checking the brand on the housing is not sufficient diligence.
Federal agencies, federal contractors and subcontractors at any tier, grant recipients using federal funds, and a growing number of state governments, universities, healthcare systems, and critical-infrastructure operators that have adopted the standard voluntarily or through their own procurement rules. Many enterprises now apply it as a general supply-chain security baseline regardless of whether they hold a federal contract.
Yes. Visylix includes a planned-failover mode that drains traffic from the primary, promotes the standby, and switches back after verification, with a near-zero recording gap. This enables regular DR drills required by SOC 2, ISO 27001, and NDAA compliance programs.
Yes. Air-gapped deployment is supported, and it includes the AI. All 22 analytics models and the Radha copilot execute locally, so no video, metadata, or query text is sent anywhere for processing. Many platforms that claim on-premise deployment still call out to a cloud service for inference or for the assistant; Visylix does not.
Yes, through multi-cluster federation. Independent deployments across sites can be searched and viewed from one operations centre while each site keeps its own recordings and retention policy locally. Video stays at the source rather than being centralised into one archive.
Yes. Federated live view uses signed WebRTC URLs. Operator clicks a remote camera, Visylix mints a short-lived (60-second) signed URL at the owning peer, and the browser establishes a direct WebRTC session to that peer's engine. Video never round-trips through the federation coordinator, it flows directly from the source site to the operator's browser over TURN relay.
No. Visylix sells software, not hardware or infrastructure. You run it on your own servers, your own virtual machines, or your own cloud account. This is a deliberate difference from cloud VMS vendors that bundle proprietary cameras or require their hosting.
Yes. Evidence locks, SHA-256 hashes, audit logs, RBAC state, and all case-management data replicate to the standby alongside video. Chain of custody is preserved through a failover event, and the audit log captures the failover itself as a timestamped event.
Yes. Primary and standby nodes can both live inside your air-gapped network. Replication uses private IP and does not require any internet connectivity. License validation also supports fully offline operation.
No. Pricing is per plan rather than per camera, per node, or per deployment mode, so cloud, on-premise, edge, hybrid, and air-gapped all carry the same licence terms. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise is quoted per deployment.
Every peer is health-checked every 30 seconds. Unreachable peers are flagged in the admin UI and skipped in scatter/gather queries, with a clear "3 of 12 peers did not respond" banner on the result. Events from reconnecting peers are back-filled into the event feed when they come back online, so operators never miss a historical event just because a WAN link flapped.
Visylix HA pairs a primary server with a standby that continuously receives replicated recordings, metadata, and configuration. Primary failure triggers operator-initiated cutover (RTO under 60s) via DNS or L4 load balancer redirection, with a near-zero recording gap for frames committed before the failure.
When an operator runs a query, "find all red cars between 2 and 4 PM yesterday across every site", Visylix scatters the request to every registered peer in parallel. Each peer executes the search locally against its own cameras and database, returns matching clips and metadata, and Visylix gathers results into a unified feed ranked by timestamp or relevance. 10 sites respond in the time of the slowest one, not the sum of all.
As a Docker image that runs on infrastructure you already control. There are five supported modes: cloud, on-premise, edge, hybrid, and fully air-gapped. Because it is a container rather than an appliance, the same build runs in all five, and moving between them does not mean changing product.
Each federated peer gets a unique HMAC-SHA256 signing secret. Every federation request is signed with a timestamp + nonce + HMAC. Peers reject expired signatures (5-minute window), replay attempts, and unknown signers. You can rotate per-peer secrets without downtime via the admin console, the rotating peer accepts both old and new secrets for a configurable grace period.
RPO (recovery point objective) is effectively zero for recordings committed to the standby replica stream. RTO (recovery time objective) is typically under 30 seconds depending on your DNS TTL or load balancer health-check interval. Configurable health checks monitor CPU, memory, disk, and service liveness.
Running recording and analytics locally at a remote site, such as a depot, branch, or plant, with only alerts and metadata travelling back to a central system. It suits sites with limited or unreliable bandwidth, since full video does not need to cross the link continuously.
Federation lets multiple independent Visylix VMS instances appear as one to the operator. You search across every site from a single box, live-view any camera from any site in one click, and receive events from every peer in one unified feed, but video stays at the source. No central archive, no bandwidth mega-pipe, no single point of failure.
Yes. Every outbound webhook carries an HMAC-SHA256 signature header computed over the payload with a shared secret. Webhook receivers verify the signature to ensure the event is authentic and un-tampered. Signature rotation is supported without downtime.
Yes. The app includes a full alerts screen with a severity-coded list, snapshot thumbnails, and a filter for unacknowledged items. You can acknowledge alerts one at a time or in bulk with a single tap, so responders in the field can triage and clear alerts without returning to a workstation. Acknowledgment syncs with your on-premise VMS.
Yes. Configure any number of "pages", each is a named collection of cameras with its own grid layout. The wall cycles through pages on a configurable interval (default 10 seconds, range 3-120). Cycling pauses when an operator presses any key or clicks into the wall, resumes after 30 seconds of inactivity.
Yes. Alerts carry a severity (critical, high, medium, low) derived from AI confidence, zone configuration, and event type. Routing rules deliver critical alerts to SMS and oncall push, high to email and dashboard, medium to dashboard and email digest, low to dashboard only.
Yes. Outbound PSIM bridges push video and detections to Bosch BIS, Genetec Security Center, and any PSIM that accepts CAP (Common Alerting Protocol), JSON, or syslog events. Each event carries a deep-link back to the Visylix forensic view so operators can click through to the video without leaving the PSIM.
Yes. NVR forensic access covers 15+ brands including OEM rebrands, so historical recordings on existing recorders stay searchable while new recording moves to Visylix. This is what usually makes a migration incremental rather than a rip and replace, since you are changing what records going forward without losing access to what is already stored.
Yes. Retention policies are configurable per camera and per site, so an entrance can be kept longer than a general corridor on the same system. This matters where different areas or regions carry different legal requirements for how long footage may be held.
No. Visylix operates a managed Cloud Push Relay for all Scale and Pro customers. Your on-premise VMS sends alerts to our relay, which dispatches through our FCM and APNs credentials to your device. Zero customer setup required. Enterprise customers who prefer to own their notification infrastructure can provide their own FCM/APNs credentials via the Settings console.
Yes. Pro tier and above include official Python and TypeScript SDKs auto-generated from the OpenAPI spec. Both cover the full 200+ REST API: live stream control, recording management, AI detection queries, camera provisioning, RBAC operations, webhook subscriptions. All types, request shapes, and response shapes are strongly typed.
Yes. Visylix ships with a native MQTT broker for IoT sensor fusion (temperature, smoke, motion, ACS, SCADA). Alerts and detections publish to configurable topics, and external sensors can publish events to Visylix for correlated video-and-sensor timelines.
Yes. Enterprise tiers include automatic archive tiering to AWS S3, Cloudflare R2, Wasabi, and Backblaze B2. Recordings age from hot local storage to warm and cold archive tiers based on configurable policies (age, camera, event type). Archived footage remains instantly searchable via metadata and can be pulled back on-demand.
No. The streaming engine is first-party rather than a wrapper around FFmpeg, SRS, or a similar project. Protocol maturity is stated honestly rather than uniformly: RIST is ingest-only, GB28181 runs over UDP, and NDI is supported via a bridge.
No. The engine keeps a GOP cache, so a viewer joining a stream receives the most recent Group of Pictures immediately and starts playing rather than waiting for the camera to emit its next keyframe. On cameras with long keyframe intervals this is the difference between instant playback and several seconds of black.
No. All 22 analytics run against the same decoded frames the engine already produces for live view and recording, on the same node, with no separate analytics server and no per-stream AI fee. Detection zones can be set per camera and per model, so different models can watch different regions of the same feed.
No. Because the stream is stored without re-encoding, recorded footage is identical in quality to what the camera sent. Generational loss only occurs when video is decoded and re-encoded, which Visylix avoids on the recording path. Transcoding is used only when a client requires a different codec or resolution than the camera produces.
Yes. Visylix ships adaptive bitrate selection out of the box. Tiles under 640px (typical 4×4 and denser grids) automatically pull the camera sub-stream, lower bitrate, lower CPU, lower network. The main stream is used for 1×1 views and for the tile under focus mode. This is why Visylix can run a 6×6 grid at 30fps on hardware that chokes other VMS platforms.
Opt in to badge-to-body tailgating correlation and Visylix compares how many people crossed a door with how many badges were presented at that door, alerting only when more people entered than credentials, which is the true tailgating (piggyback) signal. It reuses the door-to-camera mapping from the access-control integration and supports HID, Lenel S2, AMAG, Brivo, Genea, and Bosch. Without an access-control system, Visylix still performs group-crossing tailgating detection from video alone. The correlation runs on-premise.
Per-user subscription preferences let each operator opt in only to the alert types, cameras, and severities they care about. Quiet-hours scheduling silences non-critical alerts outside working hours. Severity routing delivers critical alerts to oncall rotation while routine events only appear in the dashboard. Acknowledgment tracking prevents duplicate escalation.
Recordings can be hashed with SHA-256 and locked, which prevents retention rules from deleting them while an investigation is open and provides a chain-of-custody record. Every access and export is written to the audit log against the operator who performed it, so it is possible to show who viewed or exported a given clip and when.
Live view uses WebRTC and is sub-second in internal testing, with a published benchmark planned. Actual latency depends on the network path between camera, server, and viewer, so it is measured on your own infrastructure during the proof of concept rather than quoted as a fixed number.
Up to 36 cameras per screen in a 6×6 grid. Grid layouts: 1×1, 2×2, 3×3, 4×4, 5×5, 6×6, pick per screen. For multi-monitor SOCs, you run Visylix Video Wall on each display; we have customers running 8 screens × 36 cameras = 288 concurrent streams on a single operator station with modern hardware.
The engine is built for thousands of concurrent streams per node on commodity hardware, but the exact figure depends on resolution, codec, and how many AI models are enabled per camera. There is no published load benchmark yet, so capacity is sized and validated on your own hardware during the proof of concept rather than quoted as a fixed number.
It depends on camera count, resolution, frame rate, codec, and retention period rather than on any fixed per-camera figure. HEVC typically halves the bitrate of H.264 for equivalent quality, so codec choice often has a larger effect on the storage bill than anything else. Sizing is done against your own cameras and retention policy during the proof of concept.
Yes, Enterprise customers can deploy their own branded mobile app via our white-label program. This requires a separate App Store and Play Store listing under your company brand. Contact sales for details.
Four channels available today: SMS via Twilio (Scale and Enterprise tiers), email with inline event thumbnails, HMAC-signed webhooks for custom endpoints, and MQTT for IoT/SCADA integration. Mobile push via Visylix Cloud arrives with the iOS and Android apps. Each channel is independently subscribable per user.
Bearer token (JWT) for interactive sessions, scoped API keys for automation, and HMAC-signed webhooks for outbound events. All tokens and keys are scopable to RBAC roles and revokable at any time. Webhook receivers can verify the HMAC signature to ensure the event is authentic and un-tampered.
The engine applies adaptive backpressure, dropping non-reference frames first so that keyframes survive. The practical effect is that a struggling viewer sees reduced smoothness rather than a frozen or broken picture, and recording quality is unaffected because recording writes the camera bitstream directly rather than the viewer stream.
Transmuxing repackages an encoded stream from one transport into another without decoding the video pixels. When a client can play the camera's native codec, Visylix transmuxes rather than transcodes, which preserves original image quality and keeps compute cost low. Transcoding runs only when a client genuinely needs a different codec, bitrate, or resolution.
Zero-CPU recording writes the camera bitstream straight to an MP4 file without decoding or re-encoding it. Because no transcoding happens on the recording path, the CPU cost of recording a camera is close to nothing, and the recorded file is a bit-for-bit copy of what the camera produced. Most of a recording server's CPU load in traditional systems comes from transcoding that does not need to happen.
Arrow keys navigate the focus ring between tiles. Enter enters focus mode on the selected tile (main stream, larger, side-by-side with event feed). Escape exits focus mode and resumes auto-cycle. Numbers 1-6 switch grid density (1×1 through 6×6). Spacebar pauses/resumes auto-cycle. These work without a mouse, designed for SOC operators.
It is a first-party native engine rather than an integration layer over a third-party media server. Each camera is decoded once and the decoded frame is shared by reference across the live-view, recording, and AI paths instead of being copied for each consumer. That single design decision is why the marginal cost of adding one more camera stays low.
When the network is unreliable. SRT and RIST add packet-loss recovery and encryption designed for lossy links such as cellular, satellite, or long-haul internet, where plain RTSP degrades badly. RTSP remains the right choice on a clean local network. Note that RIST support is ingest-only today.
The Visylix Mobile app is in final testing. Join the waitlist on this page and you will be notified the moment it goes live on the App Store and Play Store.
Visylix streams alerts, detections, and audit events to Splunk (including HEC), Elastic, Datadog, and QRadar via syslog or HTTPS webhook. Every event carries structured fields (camera, zone, AI model, confidence, severity, user, timestamp, source IP) for correlation rules and SOC playbooks.
Native ACS integrations for HID, Lenel (S2, OnGuard, and Prism), AMAG Symmetry, Brivo, Genea, and Bosch. Door events correlate with camera video and face recognition so badge reads, door holds, and forced-door alarms appear on the same timeline as the corresponding video. Bi-directional triggers enable unlock-on-face-match and display-video-on-badge-read workflows.
H.264 and H.265 (HEVC) for video, and AAC, G.711, G.726, and Opus for audio, processed natively by the engine. Where a client needs a codec the camera does not produce, GPU-accelerated transcoding converts only the streams that require it rather than the whole fleet.
Starter and Pro: live view, a full alerts screen, camera details, bookmarks, basic PTZ, and biometric app unlock. Scale and Enterprise add: two-way audio (talkback), evidence lock creation, case sharing, push-triggered event deep-links, and video wall viewer mode.
Thirteen natively: RTSP, RTMP and RTMPS, HLS and Low-Latency HLS, MPEG-DASH, HTTP-FLV, HTTP-TS, WebRTC using WHEP and WHIP, SRT, RIST, GB28181, and NDI, plus ONVIF for camera discovery and PTZ control. They are implemented in a first-party engine rather than wrapped around an existing open-source media server.
Video Wall is included on Scale and Enterprise plans. Enterprise adds multi-display coordination across a single workstation, shared wall presets across operators, and programmatic wall control via our REST API and SDK. See the pricing page for full tier comparison.
No mainstream browser supports RTSP natively, because browsers standardised on protocols that work over HTTP and survive firewalls and proxies. Any system showing camera video in a browser converts it first. Visylix converts to WebRTC for sub-second live view, or to HLS where broad compatibility matters more than latency.
Yes. The app connects to any Visylix VMS instance you configure, on-premise, air-gapped, or cloud-hosted. You enter your server URL on first launch, authenticate with your VMS credentials, and you are ready to go.
It detects the underlying events rather than diagnosing them. Intrusion, loitering, line crossing, crowd density, and per-camera anomaly detection all run on live streams, and Sudarshan rules can combine them into a sequence before alerting. Any use in a clinical safety context should be validated on your own footage during the proof of concept.
Yes, through Sudarshan rules. Conditions can be combined with AND/OR logic and ordered into temporal sequences, so a rule can require a sequence of events before firing rather than a single detection. Rules can be dry-run against past footage first. Actions notify people and systems; they do not directly actuate physical equipment.
Yes. Visylix is a flexible platform that can be customized for any industry beyond the 8 pre-built solutions. Contact our team to discuss your specific requirements and we will build a tailored solution with the right AI models and integrations.
Yes. The unique person counting model holds in-memory appearance embeddings for the length of the counting window and then discards them, which removes double-counting from the footfall figure. That de-duplicated count can be paired with POS transaction data for conversion rate calculation.
It can detect and alert, not physically stop. Detection zones are set per camera and per model, so a press area can require PPE while a walkway does not. Sudarshan rules combine conditions with AND/OR logic and ordered sequences, and actions notify operators and systems. Visylix does not actuate machinery or interlocks.
Yes. Visylix provides classroom and facility occupancy monitoring, parking lot analytics with real-time availability tracking, and heat map analytics for foot traffic patterns. These insights help administrators optimize room scheduling, maintenance, and security patrol routes.
Yes. Visylix provides customer flow analytics, teller optimization recommendations, wait time monitoring, and VIP identification. These insights help branch managers understand wait times and staffing patterns, using 200+ API endpoints for integration with banking systems.
Yes. Visylix supports 13 streaming protocols including ONVIF for auto-discovery of existing cameras, RTSP for IP cameras, and GB28181 for China national standard compliance. It provides 200+ REST API endpoints for integration with existing city management systems.
Yes. Visylix offers 200+ REST API endpoints, IoT MQTT support, and 13 streaming protocols for seamless integration with traffic management systems, toll collection platforms, and fleet tracking software.
Yes. Visylix provides 200+ REST API endpoints for integration with hospital information systems, nurse call systems, and visitor management platforms. It supports 13 streaming protocols for connecting existing hospital camera infrastructure.
Yes. Visylix supports multi-site management from a unified dashboard with thousands of streams per node, 200+ API endpoints for integration, and NVR forensic access across 15+ brands including OEM lines, among them Hikvision, Dahua, and Axis.
Yes. Queue and wait-time analytics and heat-map analytics are two of the 22 built-in models, and both run on the same streams already being recorded. There is no separate analytics licence and no per-stream AI fee. Detection zones can be set per camera and per model, so a till area and an aisle can be measured differently on the same feed.
Yes. Visylix provides assembly line monitoring with anomaly detection, equipment utilization analytics, idle time tracking, and production throughput measurement. It identifies bottlenecks and triggers real-time alerts via in-app, email, webhook, or WebSocket channels.
Yes. Visylix ships as a Docker image that runs on the bank’s infrastructure, including fully air-gapped environments. All 22 AI analytics and the Radha copilot execute on-premise, so branch footage and any queries about it never leave the bank network. This is the usual deployment mode where data residency rules apply.
Yes. Visylix ships as a Docker image and supports fully air-gapped deployment. All 22 AI analytics and the Radha copilot run on-premise, so no video, metadata, or query text is sent to an external service. This is the deployment mode used where data residency or classified-environment rules apply.
Yes, by licence plate. Plate journeys are exact: the same plate read at different cameras is assembled into one timeline with travel times between reads. Person journeys are also supported but work on appearance rather than identity, so they help follow a route through a terminal without being identity-grade recognition.
Yes. Role-based access control with 30+ permissions means a head teacher, a site manager, and a security officer can each see a different subset of cameras and a different set of functions. Every view and export is audit-logged, so it is possible to show who accessed what footage and when.
Yes, through multi-cluster federation. Each store keeps recording locally while a central operations centre monitors all sites, with role-based access control deciding who sees which store. Retention policies are set per site, which matters when different regions have different rules on how long footage may be kept.
Yes. Removed-object detection ships and runs alongside abandoned-object detection, so a tool or part taken from a marked area can raise an alert. Combined with the per-camera anomaly model, which learns each view’s normal pattern and refreshes weekly, this covers both the specific rule and the unusual case nobody wrote a rule for.
Yes. Sudarshan rules combine AND/OR conditions and ordered temporal sequences, so a rule can require several things to happen in a specific order before it fires. Rules can be dry-run against historical footage before going live. Physical actions notify people and systems; they do not actuate hardware such as barriers or signals directly.
Yes. Sudarshan rules can require both a video condition and an access-control condition before firing, so a door opening without a matching badge event can raise an alert while an ordinary authorised entry does not. Conditions can be ordered into sequences, and rules can be dry-run against historical footage before going live.
No. Every paid plan includes unlimited streams, so a chain adding stores or cameras does not pay more in licence fees. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month. Per-camera licensing is the normal model in retail VMS, and it is the reason multi-site rollouts often stall on cost.
Visylix is designed to support SOC 2, ISO 27001, GDPR, HIPAA, and EU AI Act compliance programs. Industry solutions like Healthcare and Banking include additional compliance features such as audit trails, data retention policies, and access control logging.
Yes. Visylix provides tamper-evident encrypted video storage with retention periods up to seven years or more, complete audit trails for every video access, and automated regulatory compliance reporting. It is 100% on-premise with zero cloud dependency and supports air-gapped deployment.
Yes. Visylix is 100% on-premise with zero cloud dependency, supporting air-gapped deployment, and is designed to support GDPR and SOC 2 programs. It includes dynamic privacy masking, RBAC with 30+ permissions, configurable retention policies, and comprehensive audit logging. Formal SOC 2 Type II certification is on our roadmap.
Visylix is built for HIPAA-regulated environments: 100% on-premise with encrypted video storage, dynamic privacy masking, RBAC with 30+ permissions, configurable retention policies, and comprehensive audit logging. It operates without storing personal biometric data in patient monitoring mode. HIPAA compliance is a shared responsibility that also depends on how your organization deploys and operates the platform.
Yes. Visylix generates automated shift-level compliance reports, maintains comprehensive audit trails, and provides 100% safety compliance documentation for regulatory audits. All data stays on-premise with air-gapped deployment support for sensitive manufacturing environments.
Yes. Visylix provides vehicle tracking, yard management, container tracking, and automated gate processing across ports, warehouses, and distribution centers. NVR forensic access supports 15+ brands including OEMs for reviewing historical footage from existing recorders.
Yes. Object detection, behavior analysis, intrusion detection for restricted areas, and line crossing detection work together for automated loss prevention with real-time alerts via in-app, email, webhook, or WebSocket channels.
It is available in the platform but should be treated as a policy decision, not a default. Many education authorities restrict or prohibit biometric processing of minors, and consent rules differ by jurisdiction. Most school deployments use intrusion, loitering, line crossing, and crowd density instead, which answer the safety questions without processing biometrics.
Yes. It ships as a Docker image and runs with no internet connection at all. All 22 AI analytics and the Radha copilot execute locally, so process footage and any queries about it never leave the plant network. This is a common deployment mode where production data cannot cross the boundary.
No. Visylix uses multi-cluster federation, so several on-premise deployments across districts can be monitored from a central operations centre with role-based access control and per-site retention policies. Each site keeps its own recordings locally, which matters when districts have separate data-custody rules.
Radha runs fully on-premise on the hospital’s own hardware, so nothing it processes is transmitted externally. It has 77 tools available against the camera fleet, of which 11 are destructive and require explicit confirmation, and every query and action is audit-logged against the operator who made it.
No, when deployed on-premise. Visylix ships as a Docker image that runs on infrastructure the city controls, including fully air-gapped environments. The 22 AI analytics and the Radha copilot all run locally, so no video or metadata is sent to an external service for processing.
The PPE model scores mAP@50 of 0.865 on a frozen 10,315-image evaluation set. That is the one accuracy figure Visylix publishes, because it is the one measured against a held-out set rather than in-domain. Accuracy on your own site depends on camera angles, lighting, and PPE types, which is why it should be validated during the proof of concept.
Visylix provides AI-powered perimeter intrusion detection with after-hours alerting, emergency lockdown integration with live camera feeds, visitor management for parent and guest access, and secure evidence sharing with law enforcement. It supports thousands of streams per node across multi-building campuses.
Visylix uses pose estimation AI for 24/7 patient fall detection with instant nurse alerts, monitors restricted areas like pharmacies for unauthorized access, and provides emergency department occupancy analytics. All processing is on-premise with zero cloud dependency for full HIPAA compliance.
SRT and RIST are built for exactly this, adding packet-loss recovery and encryption over links that drop. Edge deployment is also supported, so recording and analytics can run locally at a depot or station and only alerts and metadata travel back to the central system.
Visylix builds cross-camera journeys in two forms. Licence plate journeys are exact: the same plate read at multiple cameras is stitched into a single timeline with travel times between points. Person journeys are appearance-based, matching clothing and appearance features across cameras, which is useful for following a route but is not identity-grade recognition and should not be treated as proof of identity.
Visylix provides unique visitor counting with de-duplicated footfall analytics, shopper journey mapping, heat map analytics for merchandise placement optimization, queue management with wait-time estimation, and demographic analytics, all powered by AI models.
Loitering, intrusion, tailgating, abandoned object, and camera tamper detection all run on the same streams already being recorded, with detection zones set per camera and per model. Tamper detection builds a per-camera baseline and adapts to that specific view, which matters for unattended locations where nobody notices a moved or obscured camera.
Visylix detects PPE violations in real time across 8+ gear categories including helmets, safety vests, goggles, and gloves. It monitors safety zones around heavy machinery with proximity alerts and provides shift-level compliance scoring. The 22 AI models reduce false positives as they calibrate to your environment.
Visylix provides high-speed ANPR at 200+ km/h, incident detection on highways and in tunnels within 15 seconds, passenger flow analytics for terminals and stations, and vehicle classification and counting. All 22 AI models improve accuracy daily with zero manual retraining.
Through 200+ REST API endpoints, HMAC-signed webhooks, and MQTT for IoT and SCADA. Access control events can be correlated with video, so an alert can require both a badge event and a camera detection before it fires. SSO and MFA are supported for operator authentication.
By plan, not by camera. Every paid plan includes unlimited streams, so adding cameras or sites does not change the licence cost. Plans start at $49 per month, and Enterprise is quoted per deployment. Most enterprise VMS platforms charge per camera or per channel, which is why their cost curve and Visylix’s diverge as an estate grows.
Visylix detects ATM skimming device installation, shoulder surfing, and suspicious loitering in real time. For branches, face recognition identifies known offenders and VIP customers. All 22 AI models reduce false alarms as models calibrate to each environment.
Visylix combines face recognition-based access control, perimeter intrusion detection with AI-powered virtual perimeters, after-hours motion detection with PTZ auto-tracking, and comprehensive audit trails. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models.
Through on-premise processing and privacy redaction. Because Visylix runs as a Docker image on hospital infrastructure, no footage leaves the building for analysis, including AI inference and copilot queries. Redaction can mask faces or regions before footage is exported, and role-based access control with 30+ permissions limits who can view which cameras.
Two mechanisms genuinely adapt. A per-camera anomaly autoencoder learns what normal looks like for that specific view and refreshes weekly, and camera tamper detection builds its own baseline. Alerts also carry a dispatch score, and an effectiveness board lets you retune noisy rules in one click. Visylix does not claim a fixed percentage reduction, because that depends on your scenes.
Visylix provides city-wide camera network integration with centralized management, real-time traffic flow analysis, public safety crowd density monitoring, license plate recognition for parking and toll automation, and 22 AI models with per-camera scene baselines that adapt (bounded, on-premise, operator-supervised). It is built for thousands of concurrent streams per node with sub-second WebRTC live view, sized on your own hardware during the proof of concept.
Per plan, not per camera. A plant with 600 cameras carries the same licence cost as one with 60, and additional plants can be federated into a central operations view while each keeps recording locally. Plans start at $49 per month, with Enterprise quoted per deployment.
Per plan, not per camera or per branch. Adding cameras or branches does not increase the licence cost, which is the main structural difference from VMS vendors that charge per channel. Plans start at $49 per month, with Enterprise quoted per deployment, and branches can be federated into a central view while each keeps recordings locally.
Retention is configurable per site and per camera, so wards with different regulatory requirements can hold footage for different periods on the same system. Evidence lock prevents specific recordings from being deleted by retention rules while an investigation is open.
Retention is configurable per camera and per site, so entrance cameras can be kept longer than general corridors if policy requires it. Evidence lock holds specific recordings beyond the retention window while an incident is being investigated, so routine deletion does not destroy material that is still needed.
Visylix scales to large-scale concurrent streams with sub-second AI inference latency. Whether you are managing a single retail store or a city-wide surveillance network, the platform scales seamlessly from edge to cloud.
Visylix can be deployed in minutes for cloud installations or within hours for on-premise setups. All industry solutions come pre-configured with recommended AI models, alert rules, and dashboards tailored to your sector.
No. Visylix holds no formal security certification today, and we will not claim otherwise. What it provides are the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control, configurable retention, and full audit logging of every operator action. Certification is on the roadmap.
No. Visylix holds no formal security certification today. It provides the technical controls those frameworks look for, including on-premise deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock, and full audit logging. Certification is on the roadmap and we will not claim it before it exists.
Yes. Visylix scales from small K-12 campuses to large university networks. It is 100% on-premise with zero cloud dependency, supports RBAC with 30+ permissions for multi-level access control, and provides 200+ API endpoints for integration with existing school management systems.
Yes. Visylix is built by Aptibit Technologies in Kolkata, India with 55+ languages including 13 Indian languages (Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Assamese, Marathi, Gujarati, Punjabi, Rajasthani, Haryanvi, Odia). It supports air-gapped deployment for government facilities and is designed for Smart City Mission India requirements.
Radha runs entirely on-premise and has 77 tools it can execute against the camera fleet. Eleven of those are destructive and require explicit confirmation before running, and every action is written to the audit log with the operator who triggered it. There is no cloud dependency, so copilot queries never leave the building.
Licensing is per plan, not per camera, so a terminal with 400 cameras costs the same in licence terms as one with 40. Plans start at $49 per month and Enterprise is quoted per deployment. Visylix is delivered as a Docker image on your own infrastructure, so there is no hardware purchase from us.
There is no per-camera or per-channel fee. Every paid plan carries unlimited streams, so the cost does not scale with the number of cameras. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise pricing is quoted per deployment. This is the main structural difference from VMS vendors that licence by camera count.
There is no per-camera fee, so cost does not scale with camera count. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month. A district can federate multiple schools into one central view while each site keeps its own recordings and retention policy locally.
They usually stay. Visylix discovers ONVIF cameras automatically and speaks RTSP directly, so most IP cameras from the last decade connect without replacement. NVR forensic access covers 15+ brands including OEM rebrands, so historical footage on existing recorders stays reachable while new recording moves to Visylix.
Visylix provides AI-powered video analytics solutions for 8 key industries: Smart Cities, Enterprise Security, Retail Analytics, Transportation, Healthcare, Manufacturing, Education, and Banking & Finance. Each solution is purpose-built with industry-specific AI models and workflows.
Rules vary by country and state, but the consistent principle is that cameras are acceptable in common areas such as corridors, entrances, grounds, and car parks, and not in bathrooms, changing rooms, or other private spaces. Many jurisdictions also require signage and a documented retention period. Check your local education authority rules before installing, and treat this as general guidance rather than legal advice.
Visylix supports 13 natively. RTSP and ONVIF cover fixed IP cameras, SRT and RIST carry video reliably over unreliable links such as cellular or long-haul internet, GB28181 covers the Chinese national standard used in some transport equipment, and WebRTC delivers sub-second live view in a browser for control-room operators.
In most cases yes. Visylix auto-discovers ONVIF cameras and connects to RTSP streams directly, so it is camera-agnostic rather than tied to specific hardware. Existing NVRs from 15+ brands remain reachable for historical footage, so a rollout does not require replacing recorders on day one.
Yes. Visylix supports all ONVIF compatible cameras, so your existing camera infrastructure works without modification. Our team provides migration assistance to help transition your recording schedules, alert configurations, and user permissions.
Yes. Visylix supports all ONVIF compatible cameras, so your existing cameras work without changes. Our team assists with migrating recording configurations, user permissions, and layout setups. Since both platforms support ONVIF, the transition is straightforward.
Yes. Visylix supports all ONVIF compatible cameras, so your existing cameras work without changes. Our team helps migrate recording configurations and user permissions. If you use Genetec for access control, Visylix integrates via REST API with third party access control systems.
If your cameras support ONVIF, yes. Visylix connects to any ONVIF compatible IP camera from any manufacturer. However, Rhombus proprietary cameras do not support standard protocols, so those specific units would need to be replaced with ONVIF compatible alternatives over time.
Yes. Visylix works with any ONVIF compatible IP camera from any manufacturer. You can keep your existing Axis, Hikvision, Dahua, Hanwha, Bosch, or any other compatible cameras and add Visylix as your video management and AI analytics platform.
Yes. Visylix fully supports air gapped deployments with zero internet dependency. All video management, 22 AI models, and the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model function completely offline. Visylix also provides NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints. While Nx Witness can run on premise, its air gap capabilities are limited and its AI plugins may require external connectivity.
Yes. Visylix supports on premise, cloud, and hybrid deployment options with NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints. For organizations that need complete data sovereignty, all video data, AI processing, and the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model run entirely within your infrastructure. Spot AI is primarily cloud based and requires internet connectivity.
Yes. Visylix supports fully on premise and air gapped deployments. All video management, recording, streaming, AI processing, and the Radha AI Copilot function without any internet connection. Coram AI requires internet connectivity to access its cloud based analytics and search.
Yes. Visylix supports fully air gapped deployments with zero cloud dependencies. All video management, AI processing, recording, and the Radha AI Copilot function without any internet connection. Verkada requires cloud connectivity to operate.
No. Visylix includes a native recording engine that handles continuous and event based recording, storage management, and video playback. You do not need a separate NVR or recording device. Coram AI typically works alongside your existing NVR infrastructure.
Visylix includes 22 AI models with GPU-accelerated inference built into the platform, which is more than Verkada offers natively. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models. Visylix also includes the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model for natural language system control, which Verkada does not offer.
Visylix is focused on video management and AI analytics. For access control, Visylix integrates with third party access control systems through its 200+ REST API endpoints. Visylix also provides NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines. This allows you to choose best in class solutions for each function rather than being locked into a single vendor.
No. Visylix includes its own native recording engine, so you do not need a separate NVR. The platform handles recording, storage management, and playback natively. Spot AI typically requires an existing NVR or recording infrastructure to function.
Yes. Visylix supports on premise, cloud, and hybrid deployment options. For organizations that require complete data sovereignty, Visylix runs entirely within your infrastructure with zero cloud dependencies, including the Radha AI Copilot. Visylix also provides NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints for deep integration.
Yes. Visylix connects to any ONVIF compatible IP camera, covering the same broad range of manufacturers that Nx Witness supports, including Axis, Hikvision, Dahua, Hanwha, Bosch, and hundreds more. There is no camera compatibility gap when switching.
Yes. Visylix supports any ONVIF compatible IP camera, including models from Axis, Hikvision, Dahua, Hanwha, Bosch, and hundreds of other manufacturers. You are never locked into purchasing cameras from a single vendor.
Visylix includes 22 AI models with GPU-accelerated inference built into the platform: face recognition, ANPR, object detection, pose estimation, crowd detection, PPE detection, heat maps, motion detection, person tracking, unique person counting, intrusion detection, line crossing, camera tampering detection, abandoned object detection, tailgating detection, queue and wait-time analytics, parking occupancy, speed estimation, anomaly detection, fire and smoke detection, weapon detection, and audio event detection. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models. Coram AI offers select AI features focused primarily on search and alerting.
Visylix includes 22 AI models with GPU-accelerated inference built into the platform covering detection, recognition, and behavioural analytics. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models. Visylix also includes the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model for natural language system control. Rhombus offers a smaller set of AI analytics tied to their proprietary camera hardware.
Visylix offers complete on premise deployment where all video data, AI processing, and even the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model run within your infrastructure. No data leaves your network. Visylix also provides NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints. Verkada requires cloud connectivity and stores video data on their servers, which may not meet strict data sovereignty requirements.
Visylix supports large-scale concurrent streams and thousands of streams per node with 13 native streaming protocols including WebRTC, RTSP, NDI, and RIST. The platform is designed for multi site enterprise deployments with centralized management and site level controls, allowing you to manage thousands of cameras across multiple locations from a single interface.
Visylix includes 22 AI models with GPU-accelerated inference built directly into the platform covering detection, recognition, and behavioural analytics. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models. There are no plugins to install, configure, or maintain. Nx Witness relies on third party AI plugins that require separate licensing, configuration, and ongoing maintenance, adding complexity and cost.
Visylix deploys as a Docker image on your own infrastructure with full on premise, cloud, hybrid, and air gap options. All video data, AI processing, and the Radha AI Copilot with 77 tools, purpose-built on an on-premise language model run within your network. Visylix also provides NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints. Rhombus requires cloud connectivity and stores video data on their servers, which may not meet data sovereignty requirements.
Visylix uses flat rate monthly plans starting at $49 per month with no per camera fees. Milestone charges per camera license, which means costs scale linearly as you add cameras. For deployments with hundreds or thousands of cameras, Visylix can be significantly more cost effective.
Both platforms offer AI powered video search. Visylix goes further with the Radha AI Copilot, which can not only search recordings but also control cameras, manage alerts, configure AI models, and execute 22 different operational commands through natural language. Spot AI focuses primarily on search and retrieval.
Visylix is a complete video management system with native recording, streaming, camera management, and 22 built-in AI models. Spot AI is primarily a cloud analytics layer that connects to your existing cameras and NVR. Visylix replaces your entire VMS stack, while Spot AI augments what you already have.
Yes. Visylix uses flat rate monthly plans starting at $49 per month with no per camera fees. You can scale to thousands of cameras without increasing your per camera cost. Nx Witness uses traditional per camera licenses, meaning costs grow linearly with each camera you add to your system.
Yes. Visylix uses flat rate monthly plans starting at $49 per month with no per camera licensing fees. You can scale from a small deployment to thousands of cameras without your per camera costs increasing. Genetec requires per camera connection licenses, and pricing typically requires a custom quote from an authorized integrator.
Yes. Visylix uses flat rate monthly plans starting at $49 per month with no per camera fees. You can connect unlimited cameras on every paid plan. Rhombus uses a Camera as a Service model that charges per camera, so costs scale linearly as you add cameras to your deployment.
Visylix is designed for enterprise scale from the ground up, supporting large-scale concurrent streams and thousands of streams per node with 13 native streaming protocols including WebRTC, RTSP, NDI, and RIST. The proprietary streaming engine is purpose-built for maximum throughput with minimal resource consumption.
Since Verkada uses proprietary cameras, transitioning requires replacing camera hardware over time. However, you can start by adding ONVIF compatible cameras alongside existing Verkada units and running Visylix in parallel. Our team helps plan a phased migration strategy.
Visylix is a complete video management system with native recording, live streaming, camera management, and 22 built-in AI models. Coram AI is primarily a cloud analytics platform that adds AI capabilities to your existing camera system. Visylix replaces your entire video management stack, while Coram AI layers analytics on top of what you have.
Visylix includes 22 AI models with GPU-accelerated inference covering detection, recognition, and behavioural analytics. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves, so nothing retrains itself from operator feedback and nothing leaves your building. The remaining models are conventional trained models. Genetec offers basic analytics with additional capabilities available through partner integrations.
Visylix supports large-scale concurrent streams and thousands of streams per node with 13 native streaming protocols including WebRTC, RTSP, NDI, and RIST. The proprietary streaming engine and on premise deployment option with NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines and 200+ REST API endpoints make it suitable for large, distributed deployments. Coram AI is well suited for small to medium businesses but does not publish enterprise scale benchmarks.
Visylix is designed for enterprise scale, supporting large-scale concurrent streams and thousands of streams per node with 13 native streaming protocols including WebRTC, RTSP, NDI, and RIST. The architecture is optimized for large deployments with efficient resource utilization. Spot AI is well suited for small to mid size deployments but does not publish comparable scalability figures.
Yes. Pro tier and above include official Python and TypeScript SDKs covering the full 200+ REST API: live stream control, recording management, AI detection queries, camera provisioning, RBAC operations, webhook subscriptions. Both SDKs include fully-typed request/response models auto-generated from the OpenAPI spec.
Yes. Visylix is 100% on-premise with zero cloud dependency. It is fully air-gap compatible, the entire system operates without an internet connection after initial installation. All video, AI data, face databases, and Radha AI conversations stay within your network. It supports on-premise, cloud, hybrid, and edge deployments via Docker and Kubernetes.
Yes. Visylix is designed to operate in completely disconnected environments with no internet access. All AI models, the streaming engine, recording system, and Radha AI Copilot run locally. This makes Visylix suitable for government, defense, and classified network deployments.
Yes. Visylix automatically transcodes H.265 (HEVC) to H.264 in real time for browsers and clients that lack HEVC hardware support. Audio transcoding (G.711, AAC → Opus) happens server-side for WebRTC delivery with proper sample-rate conversion and channel remapping, so operators never have to think about codec compatibility.
Yes. SIEM streaming to Splunk (including HEC), Elastic, Datadog, and QRadar via syslog or HTTPS webhook with structured fields for correlation rules. PSIM outbound bridges push video and events to Bosch BIS, Genetec Security Center, and any PSIM that accepts CAP, JSON, or syslog events, with deep-link-back to Visylix for forensic review.
Yes. Beyond ANPR/ALPR license plate recognition, Visylix includes vehicle classification that identifies vehicle make, type (sedan, SUV, truck, motorcycle, bus), color, and general direction of travel. This runs alongside ANPR so every vehicle detection carries both a plate string and a rich appearance profile for downstream search and filtering.
No. Visylix can be deployed entirely on premise with zero cloud dependencies. All video processing, AI inference, recording, and storage happen on your own infrastructure. No video frames, thumbnails, metadata, or AI results leave your network unless you explicitly configure cloud or hybrid deployment.
Yes. Enterprise deployments include HA with primary-standby replication and operator-initiated standby cutover (RTO under 60s via DNS or L4, near-zero recording gap). Multi-site federation lets a single operator login traverse unlimited Visylix deployments across geographies with centralized RBAC, aggregated dashboards, geo-distributed evidence search, and cross-site alert correlation.
Yes. Visylix can access recordings stored on external NVR devices from 15+ brands including OEM lines, among them Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha, Pelco, and any ONVIF Profile G device. Features include time-range forensic search, multi-channel forensic grid, variable-speed playback (0.5x to 8x), recording download with SHA-256 integrity verification, and automatic cross-brand capability detection.
Yes. Real-time server-side fisheye dewarping for 360° and 180° panoramic cameras across four modes (rectilinear, panorama, quad, dual-panorama) with GPU acceleration. Enterprise tiers include a video wall layout engine supporting up to 6×6 grids per monitor, per-cell camera bindings, automatic rotation, event-driven focus switching, and multi-monitor orchestration for NOC and command-center setups.
Contact our team through this form or email us at info@aptibit.com. We will schedule a personalized demo, understand your requirements, and provide a deployment plan. Most organizations are up and running within days, not months.
Every evidence item is hashed with SHA-256 on creation and re-hashed on every export. An immutable audit trail logs every view, export, share, or delete action with timestamp, user, IP, and reason. Advanced case sharing (Pro+) supports multi-recipient watermarking, time-boxed 24-hour links (basic) or role-scoped permanent links, and GDPR right-to-delete workflows that preserve hashes for legal compliance.
The engine includes adaptive backpressure (drops non-reference frames while preserving keyframes for slow subscribers) and a circuit breaker monitoring CPU load in real time, gracefully degrading service at 70%, 85%, and 95% CPU thresholds rather than crashing. New viewers receive the cached Group of Pictures instantly, eliminating the "waiting for keyframe" delay typical of other streaming systems.
Visylix supports GDPR compliance through data minimization, configurable retention policies, right to erasure capabilities, and comprehensive audit logging. On premise deployment ensures data sovereignty by keeping all personal data within your chosen jurisdiction.
Alerts are delivered across five channels simultaneously: push notifications (via Visylix Cloud), SMS (Twilio at Scale+), email with inline thumbnails, webhooks for custom endpoints, and MQTT for IoT/SCADA systems. Per-user subscription preferences, quiet-hours scheduling, severity routing, and acknowledgment tracking ensure alerts reach the right people without noise.
Visylix offers four recording modes: continuous (24/7), scheduled, event-triggered (with pre/post-event buffer), and manual. The engine uses zero-CPU recording, video is written directly from the camera bitstream to faststart MP4 containers without any transcoding. H.265 streams are recorded natively, maintaining 50% bandwidth savings. Recordings include automatic thumbnail generation, configurable per-camera retention, and timeline-based playback up to 8× speed.
Visylix includes 22 production-ready AI models: face recognition (large-scale identity matching), license plate recognition (ANPR/ALPR, global formats with an India-optimized pipeline), object detection (80+ classes), person tracking (per-camera tracking plus cross-camera appearance journeys, Re-ID v1), crowd detection, PPE/safety gear detection, heat map analytics, motion detection, pose estimation (17 keypoints, fall detection), unique person counting, intrusion detection, line crossing detection (directional in/out/net counting), camera tampering detection, abandoned object detection, tailgating detection (with opt-in badge-to-body correlation), queue and wait-time analytics (with predicted wait), parking occupancy (with auto slot discovery), speed estimation, anomaly detection (semantic per-camera memory), fire and smoke detection, weapon detection, and audio event detection. Model adaptation is per camera and bounded: motion, audio, crowd, and camera-tampering detection build per-camera scene baselines, and anomaly detection trains a per-camera model from the visual embeddings of that scene. For the threshold-based detectors, Visylix surfaces retune suggestions that an operator reviews and approves. Nothing retrains itself from operator feedback, and nothing leaves your building. Detection accuracy depends on camera angle, lighting, and scene, so we validate every model on your own footage during the proof of concept.
There is no per-camera limit and no per-camera licence. The engine is built for thousands of concurrent streams per node on commodity hardware, and the exact per-node capacity depends on resolution, codec, and how many AI models you enable, so we size and validate it on your own hardware during the proof of concept. The auto-tuning installer profiles your hardware and automatically configures optimal database pools, worker counts, buffer sizes, and connection limits.
Visylix is designed for high stream density on commodity hardware, thousands of concurrent streams per node, and it scales out by adding nodes. Multi-cluster federation is designed toward very large, city-scale estates. Exact per-node capacity is validated on your own hardware during the proof of concept.
Yes. Visylix is built with privacy-first principles and supports 55+ languages including RTL scripts (Arabic, Hebrew, Persian, Urdu). It supports data anonymization, configurable retention policies, consent management, audit trails, and encrypted storage. Our platform is built to support your GDPR, SOC 2, ISO 27001, and HIPAA compliance programs.
Visylix offers a free 7-day trial with 1 stream, 1 user, and 1 viewer. Paid plans start at $49/month (Starter), $99/month (Pro), and $399/month (Scale with Face Recognition AI). Enterprise plans with all 22 AI models are available at custom pricing. There is no per-camera licensing, flat-rate pricing regardless of camera count.
Visylix includes 22 AI models with GPU-accelerated inference: Face Recognition, Person Tracking, ANPR, Object Detection, Crowd Detection, Pose Estimation, Safety Gear/PPE Detection, Heat Map Analytics, Motion Detection, Unique Person Counting, Intrusion Detection, Line Crossing Detection, Camera Tampering Detection, and Abandoned Object Detection. All models improve over time through adaptive baselines. Custom models can also be trained.
Scale and Enterprise tiers include SSO via SAML 2.0 and OIDC (Okta, Azure AD / Entra ID, Google Workspace, Auth0, OneLogin, PingIdentity, any standards-compliant IdP). MFA is available from Starter tier via TOTP with recovery codes. Pro tier and above support WebAuthn / Passkeys (FIDO2) for passwordless login compatible with Apple Passkeys, Google Password Manager, 1Password, Bitwarden, and hardware keys.
Native ACS integrations for HID, Lenel (OnGuard and Prism), AMAG Symmetry, and Brivo. Door events correlate with camera video and face recognition so badge reads, door holds, and forced-door alarms appear on the same timeline as the corresponding video, with bi-directional triggers (unlock door on face match, display video on badge read) and unified incident timelines across video and access events.
Enterprise tiers include automatic archive tiering to S3-compatible storage, AWS S3, Cloudflare R2, Wasabi, and Backblaze B2. Recordings age from hot local storage to warm and cold archive tiers based on configurable policies (age, camera, event type). Archived footage remains instantly searchable via metadata and can be pulled back on-demand for investigation.
Unlimited polygonal detection zones and directional virtual tripwires per camera. Zones can activate per-AI-model rules (which models run, which thresholds apply) and per-schedule (active hours). Tripwires count entries and exits separately with direction awareness, driving line-crossing analytics and occupancy tracking.
Visylix uses AES 256 encryption for data at rest and TLS 1.3 for all data in transit. This covers video streams, recorded footage, AI detection results, user credentials, and API communications. Encryption keys are managed locally on your infrastructure.
Radha is the only VMS copilot we know of that is conversational, action-taking and fully on-premise at once. She is purpose-built on an on-premise language model that runs on your own hardware, and she carries 77 tools: natural-language control of cameras and recordings, answers from all 22 AI models, semantic video search ("find a man in a red jacket"), agentic multi-step investigations with evidence timelines, live scene description via an on-premise vision model, local voice input, daily briefings, printable incident reports, and full administration. Radha keeps the site-specific vocabulary and preferences your team configures, speaks 55+ languages, and is governed by confirmation gates, query moderation, and a full audit trail — all working air-gapped.
Visylix is automated AI based video surveillance, built by Aptibit Technologies. It combines 13 streaming protocols, 200+ API endpoints, NVR forensic access across 6 native NVR protocols covering 15+ brands including OEM lines, 22 AI models, zero-CPU recording, and Radha, the only VMS copilot we know of that is conversational, action-taking and fully on-premise at once. It connects to your existing IP cameras via RTSP/ONVIF/GB28181/NDI/RIST and more, processes video with AI in real time, and delivers actionable intelligence. 100% on-premise, air-gap compatible.
Visylix is automated AI based video surveillance: the system watches, decides, and acts, rather than just recording for someone to review later. It is an enterprise-grade AI video management system (VMS) built by Aptibit Technologies, combining a proprietary native streaming engine, 22 AI analytics, and Radha, the only VMS copilot we know of that is conversational, action-taking and fully on-premise at once. It supports large-scale concurrent connections with WebRTC live view, up to sub-200ms in ideal conditions, 13 streaming protocols, 200+ REST API endpoints, and serves as a modern alternative to traditional CCTV, DVR, and NVR systems.
Visylix supports 55+ languages. This covers 13 Indian languages (Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Assamese, Marathi, Gujarati, Punjabi, Rajasthani, Haryanvi, Odia), RTL scripts (Arabic, Hebrew, Persian/Farsi, Urdu), European locales (Spanish, French, German, Portuguese, Italian, Russian, Polish, Dutch, Ukrainian, Romanian, Czech, Hungarian, Greek, Swedish, Danish, Norwegian, Finnish, Bulgarian, Serbian, Croatian, Slovak), East & Southeast Asian languages (Mandarin Simplified & Traditional, Japanese, Korean, Thai, Vietnamese, Indonesian, Malay, Burmese, Khmer, Lao, Nepali, Sinhala), and Turkish, Swahili, and Amharic. The system detects browser language automatically and each user can set their preferred language independently.
Server-side privacy redaction applies before video reaches any viewer. Scale tier includes face-or-plate redaction; Enterprise includes full redaction (faces, bodies, plates, custom zones). Redaction applies to live viewing, exports, and case sharing, with RBAC-based exemption rules so authorized roles (e.g., law enforcement) can view un-redacted footage with full audit logging.
Radha AI Copilot includes multiple prompt injection detection patterns, role based access control for all 77 operational tools, per user rate limiting, and comprehensive audit logging. Every user input is validated before tool execution, and operators can only use tools that their assigned role permits.
Visylix supports 13 streaming protocols natively, more than any other VMS: WebRTC (WHEP/WHIP) with up to sub-200ms latency in ideal conditions, RTSP with Digest Auth, RTMP/RTMPS, SRT with AES-256 encryption, HLS with Low-Latency HLS (LL-HLS), HTTP-FLV, ONVIF (Profile S/T/G), GB/T 28181, NDI for broadcast workflows, and RIST for broadcast-grade internet streaming. All protocols are implemented natively in the engine.
The Visylix blog covers AI video analytics, streaming protocols (WebRTC, RTSP, HLS, SRT), edge computing for surveillance, VMS platform architecture, industry solutions (smart cities, retail, manufacturing), competitor comparisons, migration guides, and cybersecurity best practices for video surveillance systems.
Articles are written by Mr. Falguni Chatterjee, Founder & CEO of Aptibit Technologies, and the Visylix engineering team. Content is based on real-world deployment experience building an AI video management platform serving enterprise customers globally.