AI Analytics Engine
10 production-ready AI models with hardware-adaptive inference. Enable face recognition, person tracking, ANPR, crowd analytics, and more on any stream with per-stream configuration granularity.
10 Production-Ready AI Models
Each model is optimized for video analytics use cases with configurable parameters, threshold tuning, and per-stream activation.
Face Recognition
High-accuracy face detection, embedding extraction, and 1:N matching against enrolled galleries. Supports liveness detection and multi-angle recognition in challenging lighting conditions.
- 1:N gallery matching
- Liveness detection
- Multi-angle support
- Real-time embedding extraction
Person Re-Identification
Track individuals across multiple cameras and timeframes using appearance-based feature vectors. Maintains identity consistency without requiring face visibility.
- Cross-camera tracking
- Appearance matching
- Temporal search
- Gallery-free operation
ANPR / LPR
Automatic Number Plate Recognition supporting 100+ country formats. High-speed capture at up to 200 km/h with infrared and visible-light camera support.
- 100+ country formats
- High-speed capture (200 km/h)
- IR + visible light
- Partial plate matching
Object Detection
General-purpose object detection identifying 80+ object classes including vehicles, animals, luggage, and personal items. Real-time bounding box output with confidence scoring.
- 80+ object classes
- Real-time bounding boxes
- Confidence scoring
- Custom class training
Crowd Detection
Density-based crowd estimation and occupancy counting without individual tracking. Configurable thresholds trigger alerts when defined capacity limits are exceeded.
- Density estimation
- Occupancy counting
- Threshold alerts
- Zone-based counting
Person Detection
Specialized human body detection optimized for surveillance scenarios. Higher accuracy than general object detection for person-specific use cases including partially occluded individuals.
- Occlusion handling
- Pose awareness
- Size filtering
- Direction estimation
Intrusion Detection
Define restricted zones on any camera view. Alerts trigger when persons or objects enter, exit, or dwell within configured polygonal boundaries.
- Polygonal zone definition
- Enter/exit/dwell rules
- Multi-zone support
- Schedule-based activation
Line Crossing
Directional line crossing detection for counting, flow analysis, and perimeter monitoring. Supports multiple lines per camera with per-direction triggering rules.
- Directional counting
- Multi-line support
- Flow analysis
- Perimeter monitoring
Loitering Detection
Identifies individuals who remain in a defined area beyond a configurable time threshold. Combines person detection with temporal analysis for accurate dwell-time measurement.
- Configurable dwell time
- Zone-based monitoring
- Individual tracking
- Alert escalation
PPE Detection
Detects presence or absence of personal protective equipment including hard hats, safety vests, gloves, and goggles. Designed for industrial and construction site compliance monitoring.
- Hard hat detection
- Safety vest detection
- Gloves/goggles check
- Compliance reporting
Hardware-Adaptive AI
Visylix automatically selects the optimal inference runtime based on available hardware. Deploy with or without GPUs.
Optimized inference on NVIDIA GPUs with FP16 and INT8 quantization. Batch processing across multiple streams maximizes GPU utilization and throughput.
- FP16 / INT8 quantization
- Multi-stream batching
- CUDA-accelerated pre/post processing
- Dynamic batch sizing
Efficient CPU inference using Intel OpenVINO toolkit. Enables AI analytics on servers without dedicated GPU hardware, reducing deployment cost for smaller installations.
- No GPU required
- AVX-512 optimization
- Lower hardware cost
- Edge deployment friendly
Per-Stream AI Control
Enable, disable, and tune individual AI models on each video stream independently.
Granular Activation
Enable face recognition on entrance cameras, ANPR on parking streams, and crowd detection in lobbies. Each stream runs only the models it needs.
Threshold Tuning
Adjust confidence thresholds, minimum object sizes, and detection intervals per model per stream. Fine-tune sensitivity for each camera's field of view.
Zone Configuration
Define polygonal regions of interest within each camera view. AI models only process objects within configured zones, reducing false positives and compute load.
Event Routing
Configure where AI events are sent: WebSocket subscribers, webhook endpoints, recording triggers, or third-party integrations. Each model's events route independently.
Performance Budgeting
Set per-stream FPS targets for AI processing. The engine balances inference load across available hardware to meet quality-of-service requirements.
Coming Soon
New AI models under active development to expand Visylix's analytical capabilities.
Fire & Smoke Detection
6-12 monthsEarly-warning fire and smoke detection using thermal and visual analysis for critical infrastructure and industrial environments.
Vehicle Make & Model
6-12 monthsClassify vehicle make, model, year, and color for parking management, toll collection, and law enforcement applications.
Anomaly Detection
12-24 monthsUnsupervised anomaly detection that learns normal scene patterns and alerts on deviations without predefined rules.
Abandoned Object
12-24 monthsDetect objects left unattended in public spaces. Distinguishes between placed objects and temporarily stationary items.
Power Your Video with AI
See how Visylix AI integrates with the VMS Core Engine and multi-protocol streaming to deliver actionable intelligence.