Design of an IoT-based autonomous vehicle accident detection and rescue system

Nearly everyday, a significant number of valuable lives are lost in the road accidents that are caused by driver error and delayed ambulance service from the scene of the accident. To rescue wounded people, the most crucial feature of a driver is to have a solid road accident detection and data transmission system in place. It's critical to have a system in place that communicates information about the accident site to nearby emergency services so that they can respond quickly. The Raspberry Pi is used in the accident detection procedure to detect data from the vibration sensor and accelerometer. In the process of delivering a message to a nearby medical centre or family, the rescue system employs GSM. The use of GPS in our project implementation is to track the location of vehicle and to calculate the speed of the movement of vehicle depending on the latitude and longitude position. GSM is utilized in the system to communicate the location of the accident through text message. The data is sent from the controlling unit to the application server through a vehicle ad-hoc network (Wi-Fi) for subsequent retrieval. After establishing an internet connection, the Hyper Text Send Protocol is used to transfer web pages from a remote server. The Firebase database is utilized for storing gathered data, uploading it to the web page, and notifying and alerting about the accident location.