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Smart lock using facial recognition on top of RaspberryPi 3+ models


Script usage:

  1. cam2sam.py: Collect samples from camera. cam2sam offers: - ID config - Face size and target size

  2. camera.py: Labelize face using specific model.

What we are doing:

  • We researched for efficient algorithm for face classification, end up with SVM-RBF Statistic of classifiers' accuracy Steps to reproduce: Follow experiments.ipynb to execute tests and see SVM-RBF actual configs

  • We built client-server model for applying model into practice:

Setup:

  1. Install requirements:
pip3 install -r requirements.txt 
  1. Run server:
cd server
python3 server.py
  1. Run client:
cd ../client
GPIO=true python3 client.py

Caution:

  • GPIO=true will require package RPi.GPIO to be installed
  • We offer config in client.py, please have a look at the script for proper config to make script works on your environment

Some screenshots: Capture user Phuc Capture user Tinh


Who we are:

Please leave us feedback if there are some issues with this repo. Enjoy your day!!!