Yale Lift Truck Technologies has launched its pedestrian detection event dashboard which tracks when pedestrians come within 3 ft. (1m), 10 ft. (3m) and 16 ft. (4.88m) of a forklift, allowing for mitigation strategies to be implemented to improve safety.

Yale Lift Truck Technologies says the information provided by the pedestrian detection event dashboard, allows warehouse management to “better understand operator and pedestrian behaviour as it relates to forklift safety, and to take action to help reduce the risk of accidents, such as updating pedestrian boundaries and having coaching discussions”.

The dashboard is included in the Yale Reliant pedestrian awareness camera of the Yale Vision wireless verification telemetry solution.

Yale says the camera system was developed using extensive amounts of real-world photographic data and is able to adapt to different lighting and environmental conditions to track physical human features, enabling increased data accuracy compared to using heat-detection alone.

The data is able to capture metrics such as the number of pedestrian events across the fleet of equipped forklifts, the time and date of these events, proximity of forklifts to an event, number of events per forklift and details such as whether the forklift was stationary at the time of an event.