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Face Detection Authenticator

  • A face detection authenticator system built using OpenCV and Tkinter.

Sign-up/Login

Sign-up/Login

Train (takes 5~10s)

Train

Wait for Authentication (takes <1s)

Wait for Authentication

Authentication Successful

Authentication Successful

Guide

  • Sign-up and login.
  • Train the model. OpenCV will take 100 photos of you. The trained model is stored under validator_models/ folder.
  • Authenticate. OpenCV will take a photo of you then the program will run the face detection model, if the confidence level is below 100% (lower number means higher confidence), then the user will be authenticated. If not, the authentication will be rejected.
  • The photos are not stored, however the weights of the trained models will be stored locally.

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A face detection authenticator system built using OpenCV and Tkinter.

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