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Transform municipal surveillance infrastructure into a unified AI-powered intelligence platform. From traffic optimization and public safety to urban planning, Visylix enables city administrators to make data-driven decisions that improve quality of life for every citizen.
Four core AI models work in concert to deliver comprehensive city-wide video analytics across thousands of camera feeds simultaneously.
Identity matching and watchlist screening at public checkpoints, transit hubs, and high-security zones for proactive threat prevention.
Real-time density estimation and occupancy monitoring for plazas, intersections, and public gathering areas to prevent dangerous overcrowding.
Automatic Number Plate Recognition for traffic enforcement, stolen vehicle alerts from block and watch lists, exact plate journeys, and parking management city-wide.
Per-camera tracking plus appearance-based cross-camera search that shortlists journeys across districts for operator review.
Real-world applications that demonstrate how Visylix empowers city administrators to build safer, more efficient, and more livable urban environments.
Detect congestion in real time, flag speed and wrong-way violations with calibrated speed estimation and directional line crossing, and run ANPR watchlists through AI-powered plate and vehicle analytics deployed across intersections and highway corridors.
Enhance law enforcement capabilities with city-wide video intelligence that detects incidents as they unfold, screens crowds against watchlists, and provides investigators with cross-camera forensic search tools.
Transform existing camera infrastructure into a continuous urban sensing network that provides planners with pedestrian flow data, zone utilization metrics, and mobility pattern analysis for evidence-based city development.
Capabilities every Visylix city estate gets out of the box, across traffic management, public safety, and urban operations.
The same plate read at multiple cameras is stitched into one timeline with travel times between reads.
Sub-second live view over WebRTC, up to sub-200ms in ideal conditions, for control-room operators.
Always-on analytics across every connected camera, day or night, with an evidence frame attached to every alert.
ANPR, crowd, intrusion, speed estimation and 18 more analytics developed in-house, scoped to your plan.
Our solution architects design for city scale, from a single district to multi-cluster federation. Let us help you design a Visylix implementation that meets your city's unique needs.
AI video analytics automates real-time traffic monitoring, ANPR watchlists, calibrated speed and wrong-way alerts, and live congestion detection, so operators see incidents as they happen, improving urban mobility without additional road infrastructure.
Yes. Visylix connects to any ONVIF-compliant or RTSP camera, allowing municipalities to upgrade legacy CCTV systems with AI analytics for crowd monitoring, incident detection, and public safety without replacing existing hardware.
By licence plate, yes, and exactly: the same plate read at multiple cameras is stitched into one timeline with travel times. Person journeys are appearance-based, useful for following a route but not identity-grade and never proof of identity.
No. Multi-cluster federation lets deployments across districts be monitored from a central operations centre while each site keeps recordings and retention locally, which matters where districts have separate data-custody rules.
Rules can combine AND/OR conditions and ordered temporal sequences and be dry-run against historical footage before going live. Actions notify people and systems; they do not actuate barriers, signals or other physical equipment.
Not on an on-premise deployment. Visylix runs as a Docker image on infrastructure the city controls, including air-gapped, with all analytics and the copilot executing locally.