Intelligent Anti-Collision Algorithm of Electric Bicycle Helmet Based on Arduino and Sensor Data

This study aims to improve the safety and protection ability of electric bicycle riders, and designs and implements an intelligent anti-collision algorithm based on Arduino development board and sensor data. Through the real-time monitoring and analysis of the data of acceleration sensor and distance sensor, the algorithm can accurately identify collision events and trigger alarm signals in time, providing effective safety protection for cyclists. The experimental results show that the algorithm has high detection accuracy and sensitivity, and can effectively predict the distance change between the rider and the front obstacle, and avoid the collision accident when the safety distance threshold is set reasonably. In addition, the design scheme based on open source hardware platform Arduino and common sensors is practical and feasible, which provides an important reference for the popularization and application of intelligent anti-collision technology.