IoT Based Smart Helmet for Bike Rider Safety
Venkateswara Rao, Santosh Chegondi, Karthik Myla, Sai Murala, Seshadri Srinivas Myla, Dilli Rao Kalava
Abstract
Numerous regulations have been implemented by the government to address the growing incidents of road accidents. Despite the establishment of comprehensive traffic regulations, the occurrence of accidents continues to rise. Adhering to safety measures like helmet usage and cautious driving can mitigate these issues. The adoption of helmets significantly reduces this risk. To enhance accident prevention and response, the integration of Internet of Things (IoT) technology has been introduced into smart helmets. This IoT-equipped helmet system serves multiple purposes, including accident prevention, prompt accident detection, and swift GPS-based position recovery. These functionalities collectively enhance the rider's confidence in their safety. The proposed strategy employs cost-effective sensors like NodeMCU and the MQ sensor. Notably, the helmet must be worn for the motorcycle to start, thanks to its ability to detect the rider's head within proximity. A Bluetooth module facilitates seamless wireless communication between the helmet and the motorcycle components. The most significant advantage of this approach lies in its incorporation of a fall detection mechanism utilizing the MPU6050 Sensor, coupled with a GPS module. This combination allows for rapid and accurate pinpointing of the accident's location, enabling swift response from emergency medical services. Simultaneously, pertinent information about the rider is relayed to emergency contacts. In essence, the smart helmet system greatly enhances accident detection, safety, and overall security for two-wheeled riders.