Identification and Recognition of face and number Plate for Autonomous and Secure Car Parking

To identify and distinguish an individual from another, Face characteristics detection and evaluation is proven to be one of the significant techniques among various other biometric methods. The proposed work explores the use of face identification and detection techniques for automated elevated car parking systems. In recent years, Face recognition has been widely used in numerous applications which include criminal identification, unlocking smart gadgets, advanced security systems and many others. The proposed system consists of MATLAB based GUI, microcontroller or complete embedded system for Hardware deployment and a camera module. The camera device is used to detect the face and number plate of the car owner. Viola-jones algorithm in MATLAB is used for object identification and recognition. The comprehensive embedded system panel is responsible for monitoring and controlling the complete car parking system. The proposed system is tested with a variety of scenarios and number of simulations runs and the results shows that the proposed system is capable of accurately detecting the face of the car owner and synchronizing the car owner identity with the corresponding number plate of the car.