SMART DRIVER SAFETY ALERT SYSTEM USING RASPBERRY PI FOR REAL-TIME ROAD HAZARD DETECTION

Abstract

With road safety becoming an increasing global concern, especially in countries like India with high accident rates, the need for intelligent driver assistance systems is more critical than ever. This research presents a smart driver alert system developed using a Raspberry Pi controller integrated with a suite of sensors including accelerometers, ultrasonic modules, GPS, and a camera module. The system identifies various road hazards such as potholes, foggy zones, drowsiness, alcohol consumption, and sudden impacts. Upon detecting any anomaly, real-time alerts are issued through visual, audio, and mobile notifications. GPS coordinates of critical events are transmitted to relevant authorities using IoT communication protocols, enabling rapid emergency response. Furthermore, image processing and deep learning techniques like YOLOv2 are employed for object and pothole detection. The proposed system improves driver awareness, enhances safety measures, and reduces reaction time during critical driving scenarios. It also serves as a foundation for advanced vehicular safety innovations, particularly in smart cities and intelligent transport systems. The combination of affordability, scalability, and accuracy makes this system viable for wide adoption, especially in developing nations