Enterprise-Grade AI Features
Every feature is designed for real-world law enforcement environments. GPU-accelerated inference, configurable alert rules, and no cloud dependency required.
Real-Time Threat Detection
AI monitors every frame, every camera, 24/7. Alerts include severity classification, timestamped snapshots, and configurable cooldown windows to eliminate alert fatigue.
Fire & Smoke
Early warning detection before traditional fire alarms. Saves critical minutes in response time.
Violence & Blood
Instant detection of fights, assaults, and blood. Automatic severity classification and escalation.
Weapon Detection
Identifies firearms and edged weapons in frame. Immediate high-priority alert to operators.
Restricted Substances
Detects smoking, vaping, and cigarette use in no-smoking zones and detention areas.
Facial Recognition & Identity Management
Privacy-first facial recognition that runs entirely on-device. Identify, track, and manage identities with all processing on-premise — cloud reporting is optional and can be disabled for air-gapped sites.
Real-Time Face Matching
Identify enrolled individuals the moment they appear on any connected camera.
Unknown Visitor Tracking
Track unrecognized faces across sessions and locations. Build identity profiles over time.
Searchable Face Gallery
Browse and search all face events with high-resolution crops, timestamps, and camera locations.
On-Device Processing
All facial recognition runs locally on-premise. Cloud reporting is optional and can be disabled for air-gapped sites — no cloud dependency required.
People Counting & Flow Analytics
Understand movement patterns, occupancy levels, and crowd dynamics across your entire facility in real time.
Directional Counting
Virtual line zones track entry and exit per camera. Know exactly who is where.
Demographic Analytics
Rolling-window people counts with optional gender-based breakdown for reporting.
Crowd Alerts
Configurable thresholds trigger alerts when groups exceed safe limits.
Heatmap Visualization
Understand traffic patterns, dwell zones, and movement corridors at a glance.
Edge AI — On-Premises Processing
All AI inference runs on a compact, GPU-accelerated appliance inside your facility. Video is processed on-premise — cloud reporting is optional and can be disabled for air-gapped sites.
GPU Accelerated
Dedicated NVIDIA GPU processes all camera feeds simultaneously with real-time inference.
Multi-GPU Scaling
Distribute workloads across multiple GPUs within a single server for large deployments.
Any IP Camera
Works with standard RTSP/IP cameras (H.264, H.265). No proprietary hardware required.
Hardware Configurations
| Deployment Tier | Camera Capacity | Ideal For |
|---|---|---|
| Edge Compact | 6-8 | Single facility, small station, cafe |
| Edge Performance | 12-16 | Multi-floor building, warehouse, school |
| Server Class | 20-40+ | Campus, government facility, multi-site |
See These Features in Action
Schedule a live demonstration tailored to your facility type.
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