Abstract
The Car Black Box system is one type of data service in the vehicle. Blackbox system is used to analyze the data cause of the accident. In the black box system we are used various types of sensors named collision sensor, vibration sensor, Tilt Sensor, Temperature & humidity sensor, gas sensor, smoke sensor, Alcohol sensor, IR sensor, etc. The Raspberry Pi processor are used to control all sensors and sensing data sent to the IoT cloud after a car accident. Also, we have used Raspberry pi camera for video recording & capture photos inside the vehicles and it is stored in SD cards. The GPS is used for the location of the vehicle and we get the exact location link in cloud to analyze. Also, we have built a wireless WIFI car using NodeMcu with a motor driver and controlled on device android app and that Black box fixed with wifi.
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Kumbhar, P., Barbade, S.R., Jain, U.H., Chintakind, C.L., Barhanpurkar, A.H. (2021). Implementation of Black Box System for Accident Analysis Using Raspberry Pi. In: Chen, J.IZ., Tavares, J.M.R.S., Shakya, S., Iliyasu, A.M. (eds) Image Processing and Capsule Networks. ICIPCN 2020. Advances in Intelligent Systems and Computing, vol 1200. Springer, Cham. https://doi.org/10.1007/978-3-030-51859-2_47
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