This computer vision project uses opencv,python,facerecognition,cmaker and dlib packages to complete. It is capabel of real time video capture that it uses to match photos. As the match is completed it gives registers the name and time in a csv file. First photos are converted from rgb to bgr. Then photo is encoded and distance between them is calculated. If match is found then distance is lower and vice versa. To find a match from web cam location of images is send. It can easily work on workstation without GPU.
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This computer vision project uses opencv, python,face-recognition, cmaker, and dlib packages to complete. It is capable of real-time video capture that it uses to match photos. As the match is completed it gives registers the name and time in a csv file. First photos are converted from RGB to BGR.
mayanksinghrathore/Real_time_attendance_marker_using_facedetection
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This computer vision project uses opencv, python,face-recognition, cmaker, and dlib packages to complete. It is capable of real-time video capture that it uses to match photos. As the match is completed it gives registers the name and time in a csv file. First photos are converted from RGB to BGR.
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