Implementation of a Camera Sensor for Helmet Detection in Two-Wheelers and Its Integration with the Electronic Control Unit (ECU)

The governing bodies set across different regions have several rules and regulations for the safety of motorcyclists, which they must adhere to. Accidents are undesirable events that result in injuries, or sometimes even worse, deaths. These accidents could be averted by wearing helmets while riding. The idea of integrating the output of the image processing algorithms with the ignition system stems from the increased fatality rate of motorcyclists on the road. Therefore, this project aims to reduce such accidents by using a camera tracker as a sensor, where it is further implemented with image processing hardware, such as the Raspberry Pi Camera Module, which runs image processing algorithm to determine if helmet is being worn by the rider or not. Furthermore, Raspberry Pi Camera Module is connected to the ECU using appropriate communication protocols, and the ECU sends outputs that control the ignition system. For the helmet detection, control logics on microcontroller are developed in a way to send signals to the ECU regarding helmet detection status. This project is focused on improving safety and reducing accidents.