Auto Car Safety System with Air Bag and SMS Notification
Prof. P. A. Khade*1, Yash Bomble *2, Kaustubh Patil *3, Dnyaneshwari Kade*4
*2,3,4, Student, Zeal College of Engineering and Research Narhe, Pune, India.
*1 Faculty of Zeal College of Engineering and Research Narhe, Pune, India
ABSTRACT
The number of automobiles has also grown quickly to meet the enormous population. Additionally, this resulted in an increase in accidents. The accident prevention strategies now in use are all static and dated. Additionally, there is no reliable accident detection system. Timely medical aid can help in saving lives. Drive Sentinel is an advanced vehicle safety and monitoring system aimed at reducing road accidents and improving driver accountability. The system integrates driver drowsiness detection, real-time GPS tracking, and GSM-based communication to create a comprehensive in-vehicle safety solution. Using computer vision and embedded sensors, Drive Sentinel monitors the driver’s eye movements and facial cues to detect signs of fatigue or inattention. Upon detection of drowsiness or a potential accident, the system triggers immediate visual and audio alerts to wake the driver and simultaneously sends an SMS with the vehicle’s GPS location to registered emergency contacts using a GSM module. The hardware implementation involves a Raspberry Pi or microcontroller, camera module, GPS receiver, GSM modem, and buzzer, all working in coordination to ensure real-time monitoring and response. The use of machine learning for face and eye detection enhances accuracy in identifying driver fatigue. This system can be particularly beneficial for long-haul drivers, public transport operators, and fleet management companies. By combining embedded systems, IoT, and artificial intelligence, Drive Sentinel contributes to building safer roads and reducing the number of accidents caused by human error.
Keywords- Drive Drowsiness Detection, Accident Prevention, Vehicle Safety System, GPS Tracking, GSM Alert System, Real-Time Monitoring, Image Processing, IoT in Transportation
