An Enhanced Novel Iot-Based Car Accident Detection and AlertSystem
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 1
Abstract
The excessive use of vehicles for our day-to-day tasks in this revolutionized era has become a necessity, making our lives convenient and technology-dependent. This rise in the use of vehicles has led to a greater number of road accidents that have affected the lives of humans dramatically resulting in an increased fatality rate. According to the World Health Organization (WHO), about 50 million people are injured due to road accidents every year. This is mainly due to the unavailability of timely emergency health services. This study is presented to address this critical issue by leveraging the unmatched capabilities of the Internet of Things (IoT). A novel IoT-based car accident detection and alerting system considering various car parameters simultaneously for more precise results is proposed which is designed in two stages. First, the accident that has occurred is detected via sensors considering the key vehicle parameters like speed, pressure, acceleration, and gravitation force. Second, upon detecting an accident an emergency alert containing all relevant information regarding the driver, vehicle as well as the exact location of the accident calculated through a GPS module along with its severity is sent to the nearby hospital, police, and driver’s emergency contacts using the GSM module. The proposed approach is employed on a toy car to show its significance and outperforms the existing systems in terms of accuracy 98% and responsiveness.
Authors and Affiliations
Rimsha Jamil Ghilzai, Ayesha Qadir, Urwa Bibi, Muhammad Afzal
Keywords
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