AI video analytics explained for enterprise leaders: what 22 analytics watch for, how automation turns alerts into action, where to deploy, how to measure value.
Most organisations have far more cameras than people to watch them. An operator facing a wall of feeds through a long night shift will miss things. That is not a failing of the operator. It is the limit of human attention.
AI video analytics changes the job. Every camera becomes a sensor that recognises what matters, such as an intruder at the fence, a worker without a helmet or smoke in a store room, and raises an alert the moment it happens. Retail, transport, manufacturing and public safety teams now treat video as live intelligence, not just evidence for later.
Visylix offers 22 AI analytics built in house, grouped around what buyers actually need to watch.
People: face recognition with watchlists and unknown person alerts for an operator to confirm, person tracking, unique person counting, crowd detection including crowd forming and stampede, pose estimation for falls and running, tailgating, queue and wait time, and heat maps.
Vehicles: number plate recognition with allow, block, watch and VIP lists and exact plate journeys with travel times, parking occupancy, and speed estimation for speeding, wrong way driving and U-turns.
Security and safety: intrusion detection, line crossing, weapon detection for guns and knives, fire and smoke, PPE such as helmets and vests, abandoned and removed objects, and camera tampering when a lens is covered, blurred or moved.
Scene and sound: object detection across 80 classes, motion, anomaly detection and audio events such as gunshots, breaking glass and screams.
Because these analytics are built in, not bolted on, a store can run heat maps and people counting on the same camera, on the same server, under one licence. Detection zones can be drawn per camera and per analytic.
Detection is only half the job. Visylix is built to watch, decide and act.
Sudarshan rules decide what matters by combining conditions, sequences in time and access control events, and every rule can be tested on real history before it goes live. Then Visylix acts: an alarm in the operator console, a signed webhook, an MQTT or SIEM event, a talkdown through the camera speaker, or escalation when a critical alert goes unanswered.
The Radha AI copilot, running on an on premise language model, lets operators ask questions in plain words, follow a plate across cameras, or write a new automation without touching code.
Enterprises rarely fit one design. Plants with isolated networks need AI on site. Retail chains want central oversight across many stores. Visylix supports both, and everything between.
It ships as a Docker image that runs on your own hardware: a compact edge server in a store, a rack in a data centre, a hybrid mix across sites, a fully air gapped network, or your own cloud account. Video and AI stay on infrastructure you control.
The strongest business case comes from work you can see. A warehouse running PPE detection gets a record of every violation by zone and shift, instead of a weekly spot check. A retailer using heat maps and people counting sees which zones draw traffic and staffs to real footfall.
Alarm quality matters too. Every Visylix alert carries a dispatch score, and an effectiveness board shows which rules are earning their keep, with one click retuning for the ones that are not. Beyond security, the same data supports operations, customer experience and audit trails, turning a camera network into a source of business intelligence.
Visylix offers a free seven day trial with one stream. Starter costs ₹4,999 or $49 per month and Pro ₹9,999 or $99 per month, both with unlimited cameras on the VMS licence. AI analytics are added per camera per month, on the cameras you choose, and Enterprise is priced to your estate.
When you compare platforms, look at live view speed (Visylix delivers sub second live view over WebRTC, down to under 200 ms), protocol coverage (13+ protocols, including WebRTC, RTSP, RTMP, HLS, SRT, RIST and GB28181) and whether AI, automation and the copilot all run on your own hardware. Those are the questions that separate a complete platform from a demo.
AI video analytics uses artificial intelligence to understand what is happening on camera, live and in recordings. Instead of people watching feeds all day, the system spots events that need attention, such as people, vehicles, objects and behaviour, alerts operators and tags footage so it can be searched later.
It depends on the job. Security teams commonly start with intrusion, face recognition, number plate recognition and weapon or fire detection. Retail adds people counting, heat maps and queue times. Industry adds PPE. Visylix offers 22 analytics so one platform covers security and operations, and you add AI per camera only where you need it.
Fast enough that the operator sees the event while it is still happening. That means AI running close to the cameras and live video delivered with almost no delay. Visylix runs AI on your own hardware and delivers sub second live view over WebRTC, so the alert and the live picture arrive together.
Yes. Visylix runs all of its AI on your own hardware, on premise, at the edge or fully air gapped, with no cloud connection required. That is why it suits defence, critical infrastructure and other sensitive sites.
Yes, where it counts. Each camera learns its own normal for motion, sound, crowds, tampering and anomalies. When an operator marks an alert as a false alarm, the threshold for PPE, object, fire and weapon detection on that camera tightens automatically, never below the limit the operator set, and one switch turns it off. The effectiveness board also suggests retunes for an operator to approve.