Face Recognition based Attendance Monitoring System

Electronics Engineering

With the advancement of contemporary technologies areas associated with AI and laptop vision, real time image process has become a significant technology into consideration. therefore here a strive has been created for a completely unique approach for capturing pictures from the Pi Camera in real time atmosphere and method them as we tend to square measure needed. This project portrays a machine learning approach for face recognition to accomplish this method terribly fast with high identification rates exploitation Open CV. Here in this project depicts a basic and simple equipment execution of face location framework utilizing Raspberry Pi, which itself is a mini computer of a small estimate and is of low cost. The framework is modified utilizing Python programming language. The destinations of the face recognition area unit to acknowledge appearances and its spatial space in any footage or recordings. The proposed framework distinguishes the faces presentin a grayscale and colored image. This project center around us age of face detection framework for human recognizable proof inlight of OpenCV library with python. Here in this project the idea of identification has been built up by composing distinguishable code for dataset generator ,trainer and indicator. Effectiveness of the framework is examined by ascertaining the Face recognition rate for every one of the databases. The destinations of the face recognition area unit to acknowledge appearances and its spatial space in any footage or recordings. At last, the data that will be shown alongside recognizedphotographhasbeenputawayondatabase.Thisconcepthasahigherscopeonsecurity and surveillance projects and various operation.

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