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@article{196995,
        author = {Ginju Mahesh and P.Anitha and E.venakateshwar Reddy and D.Siddharath Reddy},
        title = {AI BASED ON SMART HELMET DASHBOARD},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7336-7341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196995},
        abstract = {The AI-Based Smart Helmet Dashboard is an advanced safety system designed to enhance road safety for two-wheeler riders by integrating Artificial Intelligence, IoT, and sensor technologies. This project focuses on preventing accidents and ensuring rider compliance with safety measures such as wearing a helmet and avoiding drunk driving. The system uses sensors like an alcohol sensor, IR sensor, and accelerometer to monitor the rider’s condition and 
detect accidents. A microcontroller processes the collected data and transmits it to a cloud-based dashboard using IoT technology. The dashboard provides real-time information such as helmet status, alcohol detection, location tracking, and accident alerts.analyze rider behavior and predict potential risks.},
        keywords = {Artifical intelligence, Internet of things, Smart helmet, road safety, accident detection, Alcohol Detection, Gps Tracking,Real-Time Monitoring, Emergency Alert System Sensor Technology, Arduino / ESP32, Cloud Dashboard},
        month = {April},
        }