IoT Based Safety System for BAJA Vehicle

Abstract

Abstract: This paper proposes an IoT-based safety system for SAE BAJA All-Terrain Vehicles (ATVs) to improve the safety of riders. The system consists of intelligent safety enhancement system which is integrated with the vehicle to collect data on its location, SOS alert, speed, acceleration, and other important parameters. The collected data is then transmitted to a cloud-based server via wireless communication protocols such as Wi-Fi or cellular network. In this project, we have built an IoT based accident detection with the help of Nodemcu ESP8266 Wi-Fi module and a vibration signal which detect the accidents and send an emergency warning message. The system constitutes of single – board embedded system that has Nodemcu ESP8266 connected to IoT. Nodemcu ESP8266 is an open – source based firmware and development board specially targeted for IoT based applications. The proposed system also includes a remote monitoring and control feature, allowing the rider's friends, family members, or emergency services to track the location and status of the ATV in case of an emergency. Moreover, the system can also be used to monitor the vehicle's maintenance status and provide proactive maintenance recommendations to ensure its optimal performance and longevity. The experimental results demonstrate that the proposed system is effective in enhancing the safety consideration of ATV riders through Blynk – IoT platform and can significantly reduce the risk of accidents through crash alert system. The system can also be easily integrated with other IoT devices and platforms, making it highly scalable and adaptable to different types of vehicles and environments