README.md

Automated Entry System

This is a completed smart entry and monitoring system consisting of the following :

1- Face recognition

2- Mask detection

3- Attendance tracking

4- Anti-cheating system

Let's discuss every task

1- Face Recognition

It consists of two stages:

1- Adding a new person and updating the model

2- recognition of the face

In the first stage, we do the following:

First, we capture 30 images for the person and crop his face from them,

Then we extract his face embedding using FaceNet,

Finally, we update our model and save it

Then, in the second stage:

First, we capture an image of the person

Then we extract his face embeddings using FaceNet

Finally, give this embedding to the model and make him predict the name

2- Mask Detection

We collected 24K images and trained a CNN model for mask detection

3- Attendance Tracking

We have an online website and database, so we store when everyone enters and leave

4- Anti-cheating system

We record the face and eyes of the person,

If we noticed suspicious behavior, we submitted his exam immediately