AI In-Out Occupancy Monitoring Video
Watch YAFE AI in-out occupancy monitoring and computer vision people counting in action. This demonstration showcases overhead camera tracking across plant portals, counting ingress and egress with bidirectional accuracy, and reconciling real-time facility headcount for safe capacity management.
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What This Video Demonstrates
The video above illustrates YAFE's bidirectional edge computer vision camera system monitoring an active facility threshold. By tracking individual movement vectors across virtual tripwire lines, the software accurately registers entries and exits simultaneously without relying on turnstiles, turnstile badges, or RFID card swipes.
Video Scene & Telemetry Breakdown
Threshold Field of View & Virtual Line Delineation
Standard overhead camera feed captures a wide doorway entrance. Directional visual tripwire vectors automatically classify inwards (IN) and outwards (OUT) trajectory lanes.
Simultaneous Multi-Person Bidirectional Tracking
Workers enter and depart simultaneously. Deep learning tracking maintains unique object IDs through momentary occlusions, preventing double-counting or skipped entries.
Real-Time Net Facility Headcount Synchronization
The telemetry HUD immediately updates IN, OUT, and Net Occupancy tallies with zero cloud delay, maintaining accurate safe capacity totals for plant safety managers.
Core AI In-Out Occupancy Monitoring Capabilities
YAFE In-Out Occupancy Monitoring delivers reliable real-time occupancy data across manufacturing plants, cleanrooms, warehouses, and corporate facilities:
- Bidirectional Directional Counting: Accurately isolates ingress from egress across wide thresholds, roller doors, and open hallways.
- Safe Capacity & Overcrowding Alerts: Automatically triggers visual indicators or door access holds when room capacity exceeds statutory safety thresholds.
- Cleanroom & Sanitized Zone Density Control: Verifies strict occupant caps in pharmaceutical or semiconductor cleanrooms to preserve air filtration integrity.
- Emergency Muster Roll-Call Data Feeds: Live indoor census feeds directly into emergency evacuation muster systems, identifying exact building headcounts.
- Privacy-Preserving Optical Processing: On-device edge computer vision counts individuals without storing facial biometric profiles, ensuring strict data privacy compliance.
Integration with Existing Plant Infrastructure
YAFE AI People Counting cameras connect via standard IP video protocols (RTSP/ONVIF). Counts sync seamlessly to building automation systems (BACS), HVAC ventilation throttling controllers, and centralized EHS dashboards.