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Automobile Black Box System for Accident Analyzation

1Vedant Ghike, 2Sahil Ghuge, 3Dhruv Akhare, 4Kshitij Deshmukh, 5Roshan Shingare,
6Om Awaghad, 7R.M.Gharat.
1,2,3,4,5,6, Students, Electronics Engineering, 7HOD, Electronics Engineering.
Dr. Panjabrao Deshmukh Polytechnic, Amravati, Maharashtra, India.

ABSTRACT: -
Road accidents are a major cause of injuries and fatalities, and determining their exact cause is often difficult due to the lack of reliable recorded data. To address this issue, an Automobile Black Box System using ESP32 and Raspberry Pi 4 is proposed to monitor vehicle conditions. Sensors such as MPU6050, vibration sensor, alcohol sensor, flame detector, and GPS module continuously track parameters like acceleration, vibration, fire, alcohol presence, and location. The ESP32 processes the sensor data and sends it to the Raspberry Pi 4 throughUART communication when abnormal conditions are detected. The Raspberry Pi 4 records video nfootage and stores sensor and location data on an SD card for accident analysis and improving road safety.
Keywords - Raspberry pi 4, Automobile Black Box, Accident Analysis, Alcohol Sensor, GPS Module.