Uses face recognition technology for authorization following the "multiple persons rules" wherebe a fixed number of identified must be confirmed to authorize access to an asset class.
- face-recognition 1.3.0 (Python Library)
- dlib is a state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
- Flask v2.1 is a micro web framework written in Python.
Note: apt
is a package manager for Ubuntu linux. Use the appropriate method to install cmake
in your operating system.
sudo apt install cmake
You will need Python's package manager for this next step. Make sure python3-pip
is installed on your computer.
pip install dlib
pip install face-recognition
pip install flask
flask run
Upload a photo. It will put it into the /known/
folder with a UUID.
curl -F file=@./melvin.jpg http://127.0.0.1:5000/upload
Match a photo. It will return a true or false result.
curl -F file=@./unknown.jpg http://127.0.0.1:5000/match