This paper aims at building a smart black box system, which can help in reducing the road accidents and increasing the chances of saving injured people’s lives through accident detection using MEMS accelerometer and thereby alerting the nearest hospital service and the police control room with the exact location of the accident with the help of GPS Sensor and Twilio SMS service. In most of those accidents, people can be saved if taken to the hospital at the earliest, but due to lack of information regarding the time and place of the accident it may not be possible. Every year, approximately 1.35 million people die in those accidents. With the increased number of vehicles on road, the number of road accidents is increasing day by day.
It reduces the time it takes for emergency rescue to arrive at the crash location. This system is usually placed inside the vehicle. The purpose of the project is to find the accident location using GPS module and to send this location by means of sending a message using GSM module to the pre-coded number. Our research has been targeted towards building an integrated system for emergency rescue services in the event of a road accident. With the advancement in technology and cost coming down, in our project we attempt to build similar device for our cars, not only this device will help us in post-crash analysis but also it will help us in quicker emergency rescue operation. The Black Box control and monitoring system for vehicles concept is derived from the aviation industry, a flight recorder, colloquially known as a black box although it is now orange-colored for easy search, is an electronic recording device placed in an aircraft for the purpose of facilitating the investigation of aviation accidents and incidents. For security purposes, a panic button is introduced here to get emergency help from the security personnel by detecting the victim’s area. Finally, using global positioning system (GPS) and global system for mobile communications (GSM), the relevant authorities will get information on the vehicle's condition and whereabouts. This system also includes a way of detecting drowsiness in the driver. At the same time, the evidence will be uploaded to its server for further evaluation. The purpose of this study is to develop a few sensor-based black box system that will help us reduce traffic accidents by continuously providing precise guidance to the driver. A thorough investigation is required to minimize the accident rate and improve human safety, particularly if an incident occurs. Apart from these issues, the safety of humans and vehicles is also critical. Reckless driving and consuming alcohol are two of the leading causes of accidents.
As the number of transports on the road increases every day, so does the number of accidents.
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