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

Aryan Kakran, Anchal, Chirag, Himanshu Chaudhary, Praveen Kumar, Abhishek Sharma, Harpriet Singh
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Abstract

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.
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自动和安全停车的人脸和车牌识别和识别
人脸特征检测与评价是识别和区分个体的重要技术之一。提出的工作探讨了人脸识别和检测技术在自动高架停车系统中的应用。近年来,人脸识别已广泛应用于犯罪识别、智能设备解锁、先进安全系统等众多应用中。该系统由基于MATLAB的GUI、用于硬件部署的微控制器或完整嵌入式系统和一个摄像头模块组成。摄像头设备用于检测车主的面部和车牌。在MATLAB中使用Viola-jones算法对目标进行识别。综合嵌入式系统面板负责对整个停车场系统进行监控。通过多种场景和多次仿真运行对系统进行了测试,结果表明,该系统能够准确地检测到车主的面部特征,并将车主身份与相应的车牌号同步。
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