In this project i try to create a face verification program which recognize and cerify people faces, by using deepface library and face_recognition library. On the first program I used deep learning approach to verified the faces. And for the second program I used simple linear algebra equation which include on face_recognition library to verify the faces. The only issues that I facing was memory consumption on the deep learning program was quite big, so i need to clear my opened programs before runnning it. In the next step I will try to optimize my model and algorithm, so it can run in all device without lagging.

Live Demo for the Deep Learning approach is in this link. Live Demo for the Face Recogniition library is in this link.

This program is a real time face similarity detection by using deepface function library and 3 models option. The models are VGG-Face, ArcFace, and Facenet. First, the model will extract your face using haar cascade algorithm which can be deleted if I don't want the face rectangle and it can also reude the program memory consumption. In the next step I will try to optimize my model and algorithm, so it can run in all device without lagging.

And this program is the perfection of my FaceSimilarity.py program which has some issues on memory consuming. In this program I use face_recognition library which so much lighter than my previous program. It can be happpened because the face recognition library already encode the known face of a person using dlib face recognition, and then compare the norm matrix of known face and the face from the camera.