Face Detection Lock is a Python program for detecting, recognizing and authenticating faces. The result of the authentication is displayed on a 16x2 LCD Screen. The code is a custom implementation on the code by Adrian Rosebrock found in https://www.pyimagesearch.com/2018/09/24/opencv-face-recognition/

You need to install the following dependencies to get the project running

• opencv-python
• imutils
• smbus
• numpy

The project depends on the lcddriver repository for displaying the detected names on a screen. After pulling the repository, use the following commands

• cd FaceDetectionLock/
• git submodule init
• git submodule update

Next, make sure you go to lcd/lcddriver.py and change the following lines

• import i2c_lib -> from lcd import i2c_lib
• ADDRESS = to the address for your 16x2 LCD

• Exctract the embeddings: python3 extract_embeddings.py --dataset dataset --embeddings output/embeddings.pickle \ --detector face_detection_model --embedding-model openface_nn4.small2.v1.t7
• Train the model: python3 train_model.py --embeddings output/embeddings.pickle \ --recognizer output/recognizer.pickle --le output/le.pickle
• Launch the program: python3 recognize_video.py --detector face_detection_model \ --embedding-model openface_nn4.small2.v1.t7 \ --recognizer output/recognizer.pickle --le output/le.pickle

• Connect an NFC tag as a second way of authentication

• Thanks to Adrian Rosebrock