A Novel Black Box System for Automobiles

TLDR: Two concepts are introduced to determine the possibility of carbon monoxide leakage inside the vehicle cabin space and the other is to determine whether the vehicle has entered into no entry region; this is done using ultrasonic sensor paired with an Arduino and ZigBee.

Abstract: According to the World Health Organization (WHO) report, about 1.25 million people die due to road accident injuries every year. And majority of road crashes are caused by human error. The main objective of this research work is to design a dedicated black box system for automobiles which is used to determine the reason for the accident. Data acquisition is an important process that involves gathering information. By analyzing the various data recorded during road accident, the safety interventions and technology can be implemented to avoid such incident in the future. The black box acts as a data acquisition device, and the acquired data are stored in the Raspberry Pi. During the time of collision, the data acquired are transferred to the traffic control server’s mail id. Sensors play a vital role in the proposed system to identify and analyze the reason for the accident. Sensors list include accelerometer sensor, carbon monoxide sensor, flame sensor. This paper explores the various reasons for accident and the simultaneous catastrophic effects as the result of the collision. It introduces two concepts: One is to determine the possibility of carbon monoxide leakage inside the vehicle cabin space and the other is to determine whether the vehicle has entered into no entry region; this is done using ultrasonic sensor paired with an Arduino and ZigBee.