Research on Urban Rail Transit Foreign Body Detection System Based on Image Processing

A foreign body detection system for urban rail transit is proposed, which is capable of conducting image collection and foreign body detection at fifteen frames per second. The accuracy and robustness of the algorithm is improved with correlation calculation for detection results of consecutive frames. With LoRa, a spread spectrum communication protocol, steady long distance wireless communication is realized. In the system, each smart cam receives and sends data and commands with a server via LoRa. Meanwhile, these smart cams can relay messages for other cams to stabilize whole system communication quality. The system improves the urban rail transit safety under the premise of saving labor cost.