Blackbox: Enhanced Road Safety and Vehicle Data Management System

The accident investigation process takes a significant amount of time to close the case and the vehicle parameters are not continuously logged in the existing method. There is no evidence available for accident cases. This approach involves recording of accident information for a vehicle involves the real-time storage of picture data captured by a camera during the act of driving. Currently, an ongoing investigation is being conducted on a vehicle black box that captures driving data, namely vehicle speed, with the aim of acquiring information regarding the circumstances surrounding a car crash and identifying any problems within the involved parties. The vehicle accident data recording apparatus has garnered significant interest in recent times. This apparatus utilizes a camera mounted in the vehicle to capture image data of external factors during accidents. By analyzing pre- and post-accident external image data, as well as driving data, the apparatus aims to determine the underlying cause of the accident. The occurrence of a vehicular accident refers to an unforeseen incident that has the potential to result in harm to either the vehicle's structure or an occupant. In this proposed method, STM32 microcontroller is used to interface with the sensors and to the communication devices. The crash sensor, temperature sensor, and gas detection sensor are employed to acquire data pertaining to the main three kinds of road accidents. The SD card module and IoT module is utilized for data storage locally and globally. The I2C LCD module is used to connect the LCD using ONEWIRE protocol. The LCD is used to update the latest sensor and communication information. The GPS device is utilized to obtain accurate location of the vehicle. The GSM is used to send the accident information to the police or respective personal care takers.