Forklift-Pedestrian Near-Miss Field

A walking person stirs the WiFi field with a rhythmic, limb-swinging pattern; a forklift moves as one smooth rigid block with a motor hum. The system tells them apart and follows both around the plant. When their paths converge in an aisle, it warns — and every near miss goes on the heatmap.

In the physics: Humans and forklifts have categorically different Doppler signatures (limb-swing micro-Doppler comb vs rigid-body monotone Doppler + mast vibration) — machine-vs-human discrimination is already proven. RTI provides simultaneous device-free tracks of both at ~0.5-1m, sufficient for zone-level proximity logic.