Detection method of elevator space overload based on machine vision

To further improve the efficiency of the elevator, and reduce unnecessary stop of elevator, a detection method of elevator space overload based on machine vision was proposed. The area of the target in the elevator was calculated by binocular camera modeling and image processing algorithm. The experimental results indicate that when the elevator transports objects with light weight and large floor area, the space occupancy rates of the elevator is 30% to 50% higher than the load rates of the elevator, which shows that this method can more accurately reflect the overload situation of the elevator. This study provides research reference for elevator manufacturers to formulate more efficient elevator control strategies.