Transform urban infrastructure with AI-powered video intelligence for traffic management, public safety, crowd monitoring, and city-wide situational awareness.
Deep dive into our industry specific capabilities and approach.
Modern cities face unprecedented challenges in managing public safety, traffic congestion, and urban infrastructure. Visylix provides municipalities and city administrators with a unified AI-powered video management platform that transforms thousands of disparate camera feeds into actionable intelligence. Our platform integrates seamlessly with existing city infrastructure, enabling real-time monitoring of traffic patterns, public spaces, and critical infrastructure points from a single command center.
With Visylix, city operators can deploy crowd density analytics at transit hubs, automate traffic signal optimization using computer vision, and detect incidents such as accidents, illegal dumping, or vandalism within seconds. Our edge-to-cloud architecture ensures that processing happens closest to the camera, reducing bandwidth requirements by up to 90% while maintaining sub-second alert delivery to emergency response teams.
Visylix has been designed with privacy-first principles, supporting anonymization modes, data retention policies, and full audit trails required for public deployments. Whether you are managing a city of 100,000 or 10 million residents, our platform scales out node by node to meet demand, and multi-cluster federation is designed toward very large, city-scale estates.
What the platform does for your operation.
Purpose built capabilities for your industry.
Real-world applications of Visylix in smart cities.
Computer vision capabilities that power this solution.
See how Visylix serves different sectors.
Get a personalized demo of Visylix tailored to your smart cities requirements. Our team will show you exactly how AI video intelligence can solve your specific challenges.
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.
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 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.
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.
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.
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.
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.
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.