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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, congestion pricing, and parking management city-wide.
Per-camera tracking of individuals across zones and districts for comprehensive journey mapping and forensic investigation.
Real-world applications that demonstrate how Visylix empowers city administrators to build safer, more efficient, and more livable urban environments.
Optimize traffic signal timing, detect congestion in real time, enforce red-light and speed violations, and manage toll collection through AI-powered ANPR 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.
Quantifiable improvements that smart city deployments of Visylix deliver across traffic management, public safety, and urban operations.
AI-optimized signal timing and congestion detection reduce average commute times across deployed corridors.
Automated detection and alerting enable first responders to arrive at incidents significantly faster.
Always-on AI analytics across every connected camera ensure no event goes undetected, day or night.
High-accuracy license plate recognition under all weather and lighting conditions for reliable enforcement.
Our solution architects specialize in large-scale municipal deployments. Let us help you design a Visylix implementation that meets your city's unique needs.
AI video analytics automates real-time traffic monitoring, ANPR-based violation detection, adaptive signal control, and congestion prediction, reducing response times and 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.