Details

Autor(en) / Beteiligte

• Chandra, B Ravi
• Akshaya, M. Pranaya
• Sravani, B.
• Ashritha, Y. Sai
• Pavithra, B.K.

Titel

Internet of Things (IoT) based Digital Helmet Design and Deployment

Ist Teil von

• 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023, p.397-404

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE

Beschreibungen/Notizen

• Each year around 1.3 million traffic accidents occur worldwide. Most of the accients occur due to two-wheelers. Driving while intoxicated, driving recklessly, and being fatigued from long distances are the main reasons for accidents. To avoid accidents and alert the rider, this study has designed and developed a smart helmet using Internet of Things (IoT) technology. The ignition switch is automatically set to the OFF position if a helmet isn't worn. Sensors are also used in designing a smart helmet. In this instance, a touch sensor is used to identify whether a motorcyclist is wearing a helmet or not, and an alcohol(MQ-3 gas)sensor is used to assess whether the rider is inebriated or not. The ignition locks on its own and sends a message to the certain mobile contacts if the rider is drunk or takes off the helmet while riding. The proposed smart application uses Blynk-2.0 cloud communication technology, where the mobile application automatically transmits the accident location to the police and the emergency contact information in the event of an accident The accident vehicle's location can also be tracked by using the GPS device.