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M.Tech / M.E / PhD Thesis | Software Engineering | India | Volume 5 Issue 5, May 2016 | Popularity: 6.2 / 10

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Vehicle Monitoring System for Accident Detection

Priyanka P. Chaudhari, Dr. R. B. Naik

Abstract: In highly populated Countries just like India, in accidents, people lose their lives due to unavailability of proper medical facilities at the right time. This project senses any accident in the vehicle and intimates pre-programmed numbers like the owner of the vehicle, ambulance, police etc. The Global System for Mobile (GSM) technology is used to send the position of the vehicle as a Short Message Service to those numbers. And also the position of the vehicle can be obtained by the owner of the vehicle or anyone with proper permission by sending a Short Message Service to a number. Most of the companies require keeping track of their vehicles, with this equipment we can keep track of the vehicle by periodically sending Short Message Service and the position of the vehicle is sent by the GSM modem as a SMS to the user. To know the position of the vehicle, the owner sends a request through a SMS. This is received by a GSM modem in the device and processed by the processor and the processor sends command to a Global Positioning System (GPS) module in the device. The GPS module responds with co - ordinates position of the vehicle. This position is sent to the user as a SMS to the user with date, time, latitude and longitude positions. When there is an accident, the accelerometer sensor detects the change in position and sends a signal to the processor. The processor analyses the signal and finds there is an accident. It immediately sends the position of the vehicle and also the information that there is an accident, to pre-programmed numbers such as the owner of the vehicle, police, ambulance etc. So the ambulance arrives in time and the police can arrive in time to clear the traffic. This reduces the time taken by ambulance to arrive and also traffic can be cleared easily.

Keywords: Vehicle Monitoring System For Accident Detection

Edition: Volume 5 Issue 5, May 2016

Pages: 2008 - 2012

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