Advanced Real-Time Security System Using Face/Image Recognition

Advanced Real-Time Security System Using Face/Image Recognition

NITISH SHARMA1, DILAWER HUSSAIN2, M.SIVA GURU NATHAN3, Dr.P.ANANDRAJ4.

1, 2, 3 Final Year Student, 4 Assistant Professor

Department of Computer Science and Engineering

E.G.S. Pillay Engineering College (Autonomous), Nagapattinam

Abstract: The field of science and technology has benefited greatly from face/image recognition (AFR) technologies. This project’s main goal is to create a security surveillance system using  face/image recognition for every organization in order to enhance and modernise the present object recognition and detection systems through image ,camera video, as well as previously saved information into a system with improved functions. Numerous uncertainties in the present legacy system have led to erroneous and ineffective biometric scanning. The facial/image recognition-based system uses facial/image biometrics based on high definition monitor video and other information technologies to identify people’s faces and images at points of entrance and exit. In our face/image recognition project a computer system will be able to locate and recognise human faces/images in pictures or videos that were taken by a web camera/ surveillance camera swiftly and correctly. In this case, a face/image recognition algorithm will be used to identify face and images. The database recorded will subsequently be annotated appropriately when the processed picture is compared to the already existing record. The most defining characteristic used to definitively identify a person is there face and picture. Since there is little chance of face/image variance or duplication, it is used for identification and tracking

Keywords: Table, Python, OpenCV, Tkinter GUI ,Face/image Detection, Face/image recognition