Accident Prevention System Using Arduino: A Prototype for Collision Detection and Avoidance

This paper delves into the development of an Arduino-based accident prevention system designed to replicate collision detection and avoidance mechanisms in vehicles. The system integrates an ultrasonic sensor to measure the distance between the vehicle and potential obstacles, an LCD with I2C interface for real-time distance display, and a DC motor to simulate vehicular motion. When an object is detected within a predefined threshold distance, the system automatically stops the motor, showcasing its effectiveness in preventing collisions. By utilizing affordable and accessible components, this prototype highlights the potential for creating low-cost safety solutions in the automotive domain. The project also underscores the scalability of such systems, paving the way for future enhancements like multi-directional detection and AI integration. Through meticulous testing, the system demonstrated accuracy, responsiveness, and ease of implementation, making it a viable option for embedding safety mechanisms in vehicles. This paper outlines the system’s design, functionality, and performance metrics, emphasizing its practicality and relevance in addressing real-world safety challenges.