Employee Monitoring Registration (Face Recognition and Detection)

This is a complete face recognition project with a few clicks the application has the capability to collect
datasets using a webcam, train itself and do predictions in real-time.

Techstack Selected:

Programming language: Python 3.6
Deep Learning Framework: MXNET, Keras
Desktop App: Tkinter
Image Processing: OpenCV
Face Detection Algorithm: MTCNN
Face Recognition Algorithm: Arcface

How tO Execute the Code:

Step 1 : open your anaconda prompt (for windows user search inside start menu )
                               (for Ubuntu and Mac user you can open your terminal)

Step 2 : Create a new environment
            command : conda create -n facerecognition python==3.6.9
            
Step 3 : activate your environment
            conda activate facerecognition
            
Step 4 : Install requirements.txt in the newly created environment
        a). Navigate to your folder location on anaconda prompt/teminal
                for me ( /PycharmProjects/FaceRecogAcademy )
                for your folderName
                
        b). Check if we have requirements.txt or not in the current directory

                command : for windows (dir)
                          for Mac/Ubuntu(ls)
                datasets,  How to run.txt,  requirements.txt,  src

                you should see the above mentioned name of files.

                if yes:
                    Your are good to go
                elif No:
                    Please check the steps again you must have missed something

Step 5 : Installation and setup is done:
     a).  cd src
     b). python app.py

     Yor are good to go !!

Results:

The GUI created using Tkinter will look like below:

Step 1: Click on Take Imgeas to collect the dataset usign Webcam (Default = 50 Images).

Step 2: Click on Train Images for Training.

Step 3: Click on Predict to do real-time Face Recoognition. 

The GUI will look like :

Video Showing real time face recognition :

Face.Recognition.Project.mp4