Smart Helmet for Riders to Avoid Accidents Using IoT

The "Smart Helmet for Riders to Avoid Accidents Using IoT" leverages advanced technologies to enhance rider safety and prevent accidents. Central to this system is an Arduino microcontroller that integrates various sensors and components to monitor and respond to different safety parameters. An IR sensor detects whether the helmet is worn, ensuring the system is only active when the helmet is in use. An alcohol sensor checks the rider's breath for alcohol content, preventing the vehicle from starting if the alcohol level is above the legal limit. A MEMS sensor detects accidents by monitoring sudden impacts or falls. An eye blink sensor tracks the rider's alertness, identifying signs of drowsiness. An LCD displays real-time status and alerts, while a GSM module sends messages with location data, obtained via GPS, to emergency contacts in case of an accident. A DC motor, controlled by a relay, ensures the vehicle starts only under safe conditions, remaining off during any detected abnormalities. Additionally, a NodeMCU module is used to send real-time data to ThingSpeak, enabling continuous monitoring and data analysis. This comprehensive system aims to significantly reduce the risk of accidents and provide immediate assistance, thereby improving rider safety through IoT and embedded systems.

Keywords: Arduino Uno, IR Sensor, LCD, GSM, Eye Blink Sensor, Nodemcu.