EVIDENCE COLLECTING SYSTEM FROM CAR BLACK BOX

Abstract

Most of the time, whenever we read or hear any news related to travelling, it is an accident. Millions of peoples are losing their lives because of accidents that occur every year. In recent years, the accident rate has been increased, and in some cases, false accidents are shown. The main cause of death was recorded due to the unavailability of medical services at the time of accident, and also the reason for the cause of accident is also not known. So to overcome these problems, a car black box system came into existence. The main objective of the system is to develop a hardware system which can monitor image and video, motion detection, humidity & temperature with real time continuously. Monitoring various environmental parameters such as temperature & humidity along with other factors can be of significance in various fields. It can be secured, easy & fast for accessing. So any signals can be logged into memory so that any authenticated person can observe the data from any place (here from same place too). The information is collected by Raspberry Pi and through camera module and other sensors which are connected to the raspberry pi which is based on Linux operating system. The language used by the raspberry pi is Python. The monitoring system will display the data (if needed and wanted) in real time which help the investigation to find out the scenario of accident occurred. Here, for demo purpose monitor is used to display output.

Existing System

Proposed System

Architecture

BLOCK DIAGRAM