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Follow individuals seamlessly across your entire camera network. Visylix Person Tracking uses appearance-based Re-ID to maintain consistent identities as people move between overlapping and non-overlapping fields of view.
Visylix Person Tracking fuses real-time object detection with a deep re-identification (Re-ID) embedding model that encodes each person's visual appearance into a compact descriptor. When a tracked individual exits one camera's view and enters another, the system matches descriptors across cameras to maintain a single continuous track. Trajectory analysis maps full movement paths through your facility, revealing dwell zones, transition patterns, and flow bottlenecks. The model handles appearance changes caused by lighting shifts, partial occlusion, and crowded scenes, delivering reliable cross-camera continuity in environments ranging from shopping malls and airports to corporate campuses and stadiums.
Engineered for accuracy, speed, and seamless integration into enterprise workflows.
Maintain a unified identity for each person as they move across multiple cameras, even when views do not overlap and minutes pass between sightings. Self-learning Re-ID accuracy improves from ~70% to ~90% after two weeks of deployment.
A 256-dimension appearance embedding captures clothing color, texture, body shape, and gait characteristics for robust matching under varying conditions.
Reconstruct full travel paths within a facility, identifying entry points, exit points, dwell times, and the sequence of zones each person visits.
Define custom zones on a floor plan and automatically record every transition between them, powering heatmap and flow-diagram visualizations.
Predictive motion models and appearance re-matching recover tracks after brief occlusions caused by pillars, crowds, or other obstructions.
Process up to 30 fps per camera with GPU-optimized inference, supporting simultaneous tracking across hundreds of concurrent streams.
Deployed across industries to deliver measurable value from day one.
Map shopper journeys from entrance to checkout. Understand aisle traffic, dwell times at displays, and the path-to-purchase for layout optimization and conversion improvement.
Track persons of interest as they move through a multi-camera network. Automatically generate alerts when subjects enter restricted zones or deviate from expected routes.
Monitor people flow through choke points, corridors, and gathering areas. Detect congestion before it becomes dangerous and guide real-time crowd control decisions.
Understand occupancy patterns floor by floor and room by room. Feed data into HVAC, lighting, and elevator systems to optimize energy usage and occupant comfort.
Combine multiple models for comprehensive video intelligence coverage.
Discover how Visylix AI models can transform your video infrastructure into an intelligent, automated system.