IoT-Based Framework for Automobile Theft Detection and Driver Identification

Recently, almost everyone in the world owns a vehicle. On the other hand, there is an effective increase in the automobile theft, which is becoming a major problem in the present traffic scenario. However, in the current scenario, there is a lack of integrated systems which can effectively track and monitor the driver using Global Positioning System (GPS), GSM and camera. To overcome these issues, an effective anti-theft tracking system is introduced in this paper, which makes use of GPS to collects the latitude and longitude location of the vehicle and also the camera to take the picture of the intruder for further analysis. The resultant information is sent to the server, and the server sends message about intruder of the vehicle to the owner using GSM module. The evaluated results of the experimental setup illustrate the better performance of the proposed framework in terms of accurate identification of intruder and the location of the vehicle, and thereby, this framework can be employed in real time to prevent automobiles thefts.