The growing interest in the Internet of Things (IoT) has made innovative approaches to safety monitoring and real-time data collection possible. Using real-time location, speed, and pulse rate data, this study presents an Internet of Things (IoT)-based safety monitoring and alert system for 2-wheelers that aims to improve bikers' safety. Utilizing a GPS module, a pulse sensor, and a speed sensor, the device makes use of an ESP8266 microprocessor. The position, speed, and health parameters of a cyclist are to be tracked and sent in real-time to a smartphone application. A designated contact can receive instant alerts from the system in the case of an accident when it detects abrupt movements. This studyprovides a thorough description of the system's architecture, hardware, and software implementation in this document. The method illustrates connecting the ESP8266 to the mobile application, integrating sensors, gathering data, and developing algorithms for accident detection. Experimental results show that the system can precisely track a cyclist's whereabouts, keep an eye on their health indicators, and recognize accident situations. This study observed that the Internet of Things (IoT)-based safety monitoring and alert system for 2-wheelers has a lot of potential to improve riders' security and safety while also offering useful information to athletes and health-conscious people. The system provides chances for extra study and advancement in the field of Internet of Things applications for wellbeing and personal safety.
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Bawa et al. (2024) studied this question.
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