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@article{202941,
        author = {Manchikalapati Subhramanyam and Mandakala Vinay Kumar and Lakka Hemanth Koushik},
        title = {Smart helmet for alcohol detection to avoid accidents during bike riding using IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8598-8602},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202941},
        abstract = {The "Smart Helmet for Alcohol Detection and Accident Prevention Using IoT" project provides innovative safety features to motorcyclists by integrating Internet of Things (IoT) technology with real-time monitoring and prevention features. The helmet includes a Breathalyzer sensor to monitor alcohol intake, making the motorcycle unstart able if the alcohol concentration in the rider's blood is above the legal limit. In addition, the use of accelerometers and GPS mapping allows accidents to be detected by the identification of instantaneous crashes or collisions, which automatically sends emergency messages with the location of the rider in real time. The system uses IoT-based communication to immediately alert emergency services and authorized contacts, shortening accident response times by a considerable margin. By preventing cases of drunk driving and optimizing emergency responses, the smart helmet acts as an active safety device to reduce road fatalities and enhance the overall safety of motorcycles. Development in the future can focus on improving sensor precision, integrating health monitoring features, and broadening applications to further enhance the safety of riders.},
        keywords = {Smart Helmet, Alcohol Detection, IoT, Road Safety, Accident Prevention, GPS Tracking, Emergency Response, Motorcycle Safety, Breathalyzer, Rider Awareness.},
        month = {May},
        }