• Nikhil Ghenge
• Kanak Galande
• Rushikesh Garad
• Akshay Narwade
• Prof. Prathamesh Bajare

Road accidents cause millions of deaths and injuries annually, making them a serious worldwide health concern. IoT-based black boxes for car accidents have the potential to significantly increase traffic safety by offering precise and trustworthy accident data. This project suggests utilizing an ESP32 microcontroller to create an Internet of Things black box for car accidents. A number of sensors are used by the black box to gather data, such as a gas sensor to identify hazardous substances, an accelerometer to measure acceleration, a GPS sensor to monitor location, and a piezoelectric sensor to measure impact force and take pictures of the accident scene. The sensor data is sent to a cloud server by the black box, which also encrypts and compresses it. The information is kept on the cloud server and is accessible to authorized users, including the owner of the vehicle, insurance providers, and emergency responders.

IoT-based black box, car accident black box, ESP32, road safety, accident investigation, emergency response, insurance, fleet management.

"Survey Paper on IoT-Enabled Vehicle Telemetry System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c344-c346, November-2023, Available :http://www.jetir.org/papers/JETIR2311248.pdf

"Survey Paper on IoT-Enabled Vehicle Telemetry System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc344-c346, November-2023, Available at : http://www.jetir.org/papers/JETIR2311248.pdf