Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@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},
        }