Collection of scientific works Nanosystems, nanomaterials, nanotechnologies Year 2024 Volume 22, Issue 3
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P. VIVEKANANDAN, P. RADHIKA, A. SIVAMANI, P. PRADEESH, and D. RAKESH

Accident Prevention Using IoT-Based Smart Helmet
577–590 (2024)

PACS numbers: 07.07.Df, 07.50.Qx, 85.40.Bh, 85.40.Xx, 85.85.+j, 89.20.Ff, 89.20.Hh

Many people die from not wearing helmets. They also die from delayed treatment. Remote accidents are hard for emergency services to detect. Helmets save lives. Early treatment prevents 60% of accident deaths. This scheme will ensure riders wear helmets and call 911, if they crash. Bike accidents are rising as our country’s bikers. Many deaths occur due to not wearing helmets and not receiving prompt medical attention. The project protects bikers from traffic accidents. The primary aim of this work is to detect smart helmets and report accidents. The system uses sensors, Wi-Fi processors, and cloud computing. The processor checks accelerometer values from the accident detection system for irregularities. Cloud-based services send emergency contacts accident details. GPS locates vehicles. A smart helmet ‘Konnect’ guarantees real-time, verified accident information. Thus, a smart helmet for accident detection uses smart city’s ubiquitous connectivity

KEY WORDS: smart helmet, IR sensor, vibration sensor, MEMS sensor, temperature sensor, GSM, GPS

DOI:  https://doi.org/10.15407/nnn.22.03.577

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