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Showing posts from April, 2021
Weekly Update :  26-04-2021. MODULES: 1.Face detection 2.Face Recognition 3. Database  4. Desktop app 5. Integration and Testing  6.Other Addons. FACE DETECTION FROM STREAMING SOURCE Studied various ways and methods to obtain Video stream and their Preprocessing Techniques. Thus Concluded and developed Code for face detection. Details is as Follows. 1. The Core Component of this project  is Capturing Faces and recognizing it. This is done Using Python Programming Language.  2. The Face Capturing is Done Using OpenCV Library which provides a real-time optimized Computer Vision library, tools, and hardware.   3. The Library Extracts Frames from the Video Stream obtained by the hardware like Camera and Other Devices. 4. Using Convolutional Neural Networks , we detect face from the Frames.