Paper Details

The serious problem for car owners today is that they are constantly afraid of getting their vehicles robbedfrom or outside a home, common town & mall parking’s. Image processing based on the detection and prevention ofvehicle theft system is the ultimate solution to this problem. A program for theft prevention and recovery of cars has beendeveloped in this research in a simplified and faster way. This proposed device has two parts, the software and thehardware. Raspberry Pi processor, Fingerprint module, GPS module, camera, buzzer, mobile app, motor driver, and DCmotor are included in the hardware component. Python language is used as a component to the software. In this paper,low cost vehicle anti-theft system is proposed, consisting of a fingerprint detection, face recognition, a GPS (GlobalPositioning System) module, IoT based android application and a control platform. In this method user first validates hisfingerprint to unlock vehicle door lock. After approved access, user enters in car then camera captures image of user &immediately sends an image of that person with warning notification to the owner's Mobile application along with emailand concurrently compares the face to the database to verify whether or not it is a valid driver. The owner is madecapable of conducting car stopping from his mobile via the call or sms. The GPS sensor in the vehicle monitors the car'slocation so that the car's owner can continue to track the car's health from a distant location. The car ignition systemcannot be started without an Authorized Individual of the Vehicle. Therefore, through this scheme, the thief's identity andthe car's location are actually smarter

Vishal Vitthal Dhamdhere, Professor Nanda Kulkarni, “Raspberry Pi Based Intelligent Car Anti-Theft System Through Face Recognition Using Fingerprint detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 8, pp. 7-9, August 2020.