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@article{199433,
        author = {Shital. K. More and Karan Ashok Dhawale and Ashish Achyut Hajgude and Narendra Badhe},
        title = {IoT-Enabled Intelligent Vehicle Black Box for Real-Time Accident Detection and Cloud-Based Data Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15822-15826},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199433},
        abstract = {Road accidents kill a large number of people every year, with rural areas hit hardest because emergency services take longer to arrive. This paper describes an IoT-based vehicle black box that uses accelerometers, gyroscopes, and GPS to detect crashes as they happen. When the system detects a collision or abnormal vehicle movement, it automatically sends an alert to emergency services and a cloud server with the time, date, and location. Testing showed the system detects accidents quickly and accurately enough for real-world deployment.},
        keywords = {IoT, Vehicle Black Box, Accident Detection, Cloud Computing, Smart Transportation},
        month = {April},
        }