CAR BLACK BOX SYSTEM FOR ACCIDENT ANALYSIS USING IOT

Abstract

The car black box is used to analyses the cause of accidents like an airplane black box. This paper
proposes a model of a car black box system which can be installed in the cars. The aim of this paper
is to achieve accident analysis by tracking the working process of vehicles. In addition to this, the car
black box system sends an alert message to the user mobile which is connected through Bluetooth
module. The black box system also uses GPS sensor to collect the data location. The car black box
system mainly helps the insurance companies to do car crash investigations and to record the road
status to prevent or decrease death rates. This paper proposes a technique to monitor the vehicle
performance and the behaviour of the driver using sensors with the use of IoT technology., primarily
driven by factors like speeding, drunk driving, distractions, red light violations, and negligence of
safety measures. To address this concern, our project focuses on developing a do-it-yourself (DIY)
black box with accident prevention and alcohol detection features.
This black box, traditionally used to record vehicle and occupant data during and after crashes, will be
enhanced with Internet of Things (IoT) technology and various sensors to promptly alert vehicle
owners of potential accidents or hazardous conditions. By deploying advanced sensors, the system
aims to detect signs such as erratic driving behaviour and collision scenarios, contributing to a
significant reduction in accidents. Additionally, the integration of alcohol detection technology
enhances safety measures by identifying instances of drunk driving and notifying both the driver and
vehicle owner in Realtime. This innovative approach aligns with the broader goal of creating a safer
road environment in India, ultimately curbing the rising toll of road accidents..