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@article{201700,
        author = {Niharika CS and Pradyumna K and Khushi Singh and Rajshekar and Ankitha A},
        title = {A Survey on Intelligent Helmet Systems for Real-Time Accident Detection and Emergency Response in Two-Wheeler Safety},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5746-5750},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201700},
        abstract = {Road accidents involving two-wheeler riders often lead to severe injuries or fatalities due to delayed emergency response. Many victims remain unattended because they are unable to call for help after the accident. This paper presents an AI-Powered Smart Helmet designed to automatically detect accident events and send emergency alerts without requiring rider interaction. The system integrates motion sensors, GPS, and communication modules with an intelligent processing unit to analyze real-time motion data and identify crash conditions. When an accident is detected, the system automatically sends the rider’s location to predefined emergency contacts. The proposed system aims to reduce response time during accidents and enhance road safety by providing an intelligent and automated accident detection mechanism. In addition to basic accident detection, the proposed helmet focuses on improving the reliability of crash identification using intelligent data interpretation techniques. By continuously monitoring rider motion patterns and analyzing sensor data in real time, the system can identify abnormal movement conditions that are highly associated with accident scenarios. The integration of location tracking and automated communication ensures that emergency alerts are delivered quickly and accurately. The proposed approach aims to enhance rider safety by combining sensing, embedded processing, and intelligent decision-making within a compact wearable device.},
        keywords = {Smart Helmet, Artificial Intelligence, Accident Detection, Road Safety, Emergency Alert System, IoT, Embedded Systems.},
        month = {May},
        }