Regulators and insurers are pushing hard for forklift proximity warning and collision avoidance systems. The most common retrofit uses a mix of radar, LiDAR, and ultrasonic sensors to detect pedestrians and objects and automatically slow or brake the trucks. On paper, it's a safety no?brainer. On the dock floor, it's an operational disaster.
The problem: these sensors can't tell a human leg from a hanging strip of shrink?wrap, a pallet overhang, or the corner of a rack post. If the radar beam catches a metal rack brace or a piece of cardboard, the system logs a "pedestrian in zone" event and triggers hard braking or a speed limit. Operators get phantom stops dozens of times a shift-enough to destroy throughput and tempt them to tape over the sensors or unplug the system.
Vendors are trying to fix this with AI vision and multi?sensor fusion (camera + radar + LiDAR), but in cluttered warehouses the false?positive rate is still high. From a maintenance perspective, these systems also add dozens of new fault codes (sensor misalignment, dirty lenses, CAN bus errors) that mechanics must chase. The worst?case scenario is a proximity system that keeps tripping a safety interlock and disabling the truck; the "fix" is often to temporarily bypass it just to keep production moving, which defeats the safety intent and exposes the company to liability.
