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@article{178917, author = {Ananya Nikam and Sayee Pagar and Varad Pakhale and Vaibhav Panchal}, title = {DashCam Integrated Accident Detection System}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {12}, pages = {4922-4926}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=178917}, abstract = {In this paper, an IoT-based, novel DashCam system with real-time accident detection and emergency response is presented for improving road safety. The system uses an MPU 6050 sensor to measure impact severity, a GPS module to find accurate location, and a GSM module to send emergency alerts as SMS. A video footage is also captured and stored by an ESP32-CAM, which can be used as key evidence for post-accident investigation. By integrating real-time monitoring, automatic alerting, and video recording, this system will minimize emergency response time, enhance accident documentation, and assist in more efficient road safety measures.}, keywords = {IoT, DashCam, Accident Detection, GPS, SMS Alert.}, month = {May}, }
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