Yale Lift Truck Technologies launched a pedestrian detection event dashboard that tracks when pedestrians come within approximately 3, 10 or 16 feet of a lift truck.
“In an industry characterized by tight margins and unforgiving productivity expectations, operations cannot afford the financial and productivity impact of forklift-related accidents and injuries,” says Josh Eby, global product manager, Yale Lift Truck Technologies. “The new dashboard captures pedestrian detection events to equip operations with critical information so they can take action that can help reduce the likelihood of such accidents.”
Key takeaways:
· This information allows warehouses to better understand operator and pedestrian behavior 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 camera system was developed using extensive amounts of real-world photographic data and adapts to various lighting and environmental conditions to track for physical human features, which enables increased data accuracy compared to just using heat to detect pedestrian presence.
· Key information includes total number of pedestrian events across the fleet of equipped trucks; time and date of events; proximity and location of events around the lift truck; number of events per truck; and additional details on each event, such as whether the truck was stationary or in motion.
