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@article{180824,
        author = {Bantu Mounika and T.Uday and M.Balaji and D.Mamatha},
        title = {smart helmet detection based on yolo algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2807-2812},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180824},
        abstract = {This project proposes a smart helmet that enhances road safety by preventing drunk driving. This Helmet is equipped with an alcohol sensor, microcontroller and wireless communication modules. When a rider wears the helmet, it checks for alcohol is detected beyond a permissible level the system prevents the vehicle from starting and sends an alert via GSM. This smart helmet serves as proactive safety measure aimed at reducing accidents caused by drunk driving},
        keywords = {Motorcycle Safet, Smart Helmet, YOLO Algorithm, Alcohol Detection, Helmet Detection, Speed Monitoring, Force Sensing Resistor (FSR), MQ-3 Gas Sensor, AT89S52 Microcontroller, Wireless RF Communication (315 MHz), BLDC Fan Sensor, Vehicle Ignition Control, Real-Time Monitoring, Embedded Systems, IoT in Transportation, Rider Authentication, Image-Based Object Detection, Safety Alert System, Intelligent Transport System (ITS)},
        month = {June},
        }