Using Infrared Module And Laser Ranging Module To Monitor Tread Pattern Of Powered Wheelchair

The purpose of this study is to detect the tread pattern of powered wheelchairs using an infrared module, a laser rangefinder, and a Raspberry Pi. The data are monitored by a computer to achieve the function of real-time monitoring in the backend. This system uses the Raspberry Pi OS and Python for coding. The information fed back from the infrared module and laser rangefinder are stored in Raspberry Pi, and then sent to the backend computer for real-time monitoring. The advantages of this system are that it allows the user to monitor the tread pattern of a powered wheelchair in real time, and when an abnormal situation has occurred, this system can inform the user to carry out maintenance on the tire in time, so that the user can be more at ease in use and the manufacturer can improve their after-sales service for consumers.