Real Time Vehicle Security System Using Face Recognition and Finger Print

Authors

  • B. Ajay Bhargav, D. Hari Krishna, U. Syed Abudhagir

Keywords:

Eigen Face recognition, Haar cascade classification technique, simple mail transfer protocol (SMTP), fingerprint module

Abstract

As the vehicles are precious things they need to be protected precisely, no matter how secure the parking area is there is always a possibility of vehicle theft. Unlicensed drivers are the main cause of fatal accidents on the roads. By taking these points into consideration, a vehicle safety and security system is designed. This proposed system consists of raspberry pi board, USB camera, fingerprint module, alcohol sensor, relay with a motor. When a person enters in to the vehicle, the system will check the driver license by facial recognition system which contain eigenface algorithm. The camera captures the image of the driver and compares it with the existing database. If it matches, the system will move further for fingerprint verification. The fingerprint module is the key for the vehicle ignition. If the fingerprint matches with the existing enrolled dataset, then ignition of the car is turned ON. If the person face is not matched fails in facial recognition the system will use Simple mail Transfer protocol SMTP   server and sends an email alert to the vehicle owner and the buzzer will ring. If the person fails in fingerprint verification or in alcohol detection, then the vehicle ignition will not be turned ON, buzzer will ring. The experimental results shows that at a threshold value of 3.2*103 and 3.5*103 the accuracy of the proposed vehicle security system is 98.3% this is achieved in different illumination conditions

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Published

2022-08-16