The main objective is to prevent vehicle collisions using a Raspberry Pi-based real-time monitoring system. The project is done by using ultrasonic sensors to detect obstacles, a Raspberry Pi to process sensor data and make decisions, and actuators or alerts to warn the driver or automatically control the vehicle to avoid collisions.
This project proposes a Raspberry Pi–based vehicle collision avoidance system integrated with ultrasonic sensors and GSM technology to improve road safety and accident prevention. The ultrasonic sensor continuously measures the distance between the vehicle and obstacles, while the Raspberry Pi processes the data in real time to detect potential collision threats. If the vehicle approaches a critical threshold distance, the system immediately triggers an alert using a buzzer and simultaneously sends an SMS notification to the driver or concerned authority via the GSM module. This dual-layer safety approach ensures that the driver is warned instantly and that remote stakeholders remain informed about possible hazards. The integration of Raspberry Pi enables efficient data processing, system flexibility, and scalability for future enhancements, such as GPS tracking and IoT connectivity. The proposed design provides a low-cost, reliable, and intelligent solution to reduce collision risks and enhance transportation safety.
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