AI Forklift Safety Video
Watch YAFE AI forklift safety and pedestrian collision avoidance in action. This demonstration showcases real-time edge computer vision tracking industrial forklifts and warehouse personnel, calculating dynamic 360-degree proximity buffers, and triggering sub-second audio-visual collision alerts.
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What This Video Demonstrates
The video above illustrates YAFE's proprietary edge computer vision system analyzing an active factory logistics bay and warehouse corridor. Without requiring wearable UWB tags, RFID transponders, or vehicle retrofitting, the deep learning network tracks mobile machinery and pedestrians simultaneously from existing overhead CCTV cameras.
Video Scene & Telemetry Breakdown
Vehicle & Pedestrian Detection in High-Traffic Aisle
Standard plant CCTV captures a material handling forklift navigating active logistics aisles. The AI model detects both the vehicle body and workers in the vicinity, creating dynamic safety bounding boxes.
Dynamic 360-Degree Proximity Buffer Calculation
As the forklift moves toward an intersection, real-time spatial analytics monitor distance margins. When worker separation drops below the configured safe distance, the zone highlights yellow then amber.
Near-Miss Collision Warning & Audible Hooter Trigger
A pedestrian enters the vehicle trajectory buffer. The system immediately logs a near-miss incident with high-precision timestamp telemetry and fires an instant audible/visual warning to prevent impact.
Core AI Forklift Safety Capabilities
YAFE Forklift Safety transforms passive warehouse cameras into active collision prevention systems. Tailored for manufacturing plants, distribution warehouses, cross-docking facilities, and cold storage, the system provides:
- Pedestrian-Vehicle Proximity Detection: Continuous 360-degree boundary monitoring around forklifts, reach trucks, and tuggers to maintain safe human separation.
- Blind Spot & Corner Intersection Alerting: Early warning visual indicators at aisle intersections, roll-up doors, and obstructed corners before physical line-of-sight occurs.
- Vehicle Speed & Reckless Driving Tracking: Real-time optical velocity estimation flagging overspeeding vehicles in shared pedestrian lanes.
- Edge Computer Vision Architecture: High-speed local processing with sub-15ms inference latency, operating autonomously without external cloud bandwidth delays.
- EHS Near-Miss Incident Heatmaps: Automated safety logging generating spatial risk heatmaps, identifying high-risk intersections and peak accident time windows.
Integration with Existing Plant Infrastructure
Deploying YAFE AI Forklift Safety requires no special forklift sensors or hardware modifications. The platform connects directly to standard IP CCTV feeds via RTSP/ONVIF protocols, interfacing with factory floor beacons, physical traffic lights, PLC relays, and warehouse management dashboards.