Yale Lift Truck Technologies has launched a pedestrian detection event dashboard that identifies pedestrians at ranges up to five metres of a lift truck. This information allows warehouses to better understand operator and pedestrian behaviour as it relates to forklift safety. They can also take action to help reduce the risk of accidents, such as updating pedestrian boundaries and having coaching discussions.

The dashboard is available at no additional cost to customers who already use the Yale Reliant pedestrian awareness camera and the advanced tier of the Yale Vision Wireless Verification telemetry solution. 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 operations can learn from the system include the total number of pedestrian events across the fleet of equipped lift trucks, time and date of events, proximity, location of events around the lift truck, and number of events per machine. Additional details on each event, such as whether the lift truck was stationary or in motion are also provided.

“In an industry with 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. Then they can take action that can help reduce the likelihood of such accidents.”

The Yale Reliant pedestrian awareness camera, launched in 2025, can accurately identify pedestrians at ranges up to five metres through a 110-degree field of view and provides automatic alerts to the lift truck operator when a pedestrian is detected. Operations can get the camera system with audible and visual alerts only. This includes a voiceover communicating pedestrian proximity and a light indicating which zone the pedestrian is in on the lift truck-mounted operator remote. Alternatively, they can choose a solution with optional traction alerts that automatically and gradually slow down the lift truck. This encourages lift truck operators to take action to avoid the detected pedestrian by slowing down, steering away, or both.