Smart Helmet for Accident Prevention and Rider Safety Using IOT

Abstract - Two-wheeler riders are frequently exposed to risks stemming from helmet neglect, drunk driving, and delayed emergency responses. This paper presents an IoT-enabled Smart Helmet system designed to enforce safety compliance and assist during accidents. The proposed system incorporates helmet usage verification using a limit switch, alcohol detection via an MQ sensor, and automatic accident identification through an ADXL345 accelerometer. Upon impact, the system retrieves GPS coordinates and transmits them to emergency contacts via a GSM module. Real-time feedback is displayed on an LCD, and alerts are issued through a buzzer. The integration of multiple sensors and microcontrollers creates a compact and cost-effective solution aimed at reducing road accidents and improving rider safety through automated monitoring and prompt emergency communication. Key Words: Smart Helmet, IoT, Arduino UNO, Alcohol Sensor, Accident Detection, GSM, GPS, Rider Safety, Embedded System.