From face recognition to crowd analytics, Visylix deploys specialized computer vision models optimized for real-world video intelligence at scale.
Each model is purpose built and optimized for its domain, delivering best in class accuracy and performance.
Real-time face detection and recognition with 99.7% accuracy for access control, watchlists, and attendance systems.
Automatic number plate recognition (ANPR/ALPR) supporting 100+ countries with 98%+ accuracy in varied lighting and weather conditions.
Detect and classify 80+ object classes in real-time with bounding boxes, enabling custom alert rules per object type.
PPE compliance monitoring that detects hard hats, vests, and safety gear with real-time violation alerts.
Spatial activity visualisation showing movement density, dwell time, and traffic patterns across monitored areas.
Estimate crowd density and count in real-time with threshold-based alerts for safety and capacity management.
De-duplicate person detections across cameras and time to provide accurate unique visitor counts.
Multi-object tracking that follows individuals across frames with trajectory mapping and loitering detection.
Intelligent motion detection with configurable sensitivity zones, filtering out noise from weather and lighting changes.
Real-time human pose estimation detecting 17 key body points for fall detection, ergonomics, and behaviour analysis.
Our models are trained, tested, and deployed for production grade video intelligence.
Battle tested models deployed across enterprise environments with proven reliability.
Hardware accelerated inference leveraging NVIDIA TensorRT for maximum throughput.
Optimized model variants for edge devices including Jetson and Intel OpenVINO.
Per camera model assignment with adjustable sensitivity, zones, and scheduling.
Schedule a live demo to see how Visylix AI models perform on your video feeds.