Smart GYM

A Machine Learning-based program that can classify a teacher or a student in an open environment.

Installation

Clone the directory to your computer and create a virtual environment.

$ cd (Location of directory)
$ pip install -r requirements.txt
$ cd smart_gym
$ python manage.py runserver

Seting up a new user

New users can be added from the localhost webpage. A webcam will open and the user will need to rotate their head to get full coverage of their face.

• (When enough data is collected, press Q to close the webcam)

[The data is stored in this text file.]

Face recognition app

Steps to run the facial recognition script:

$ cd (Location of directory)
$ cd smart_gym/home/facerecognition
$ python main.py

• To terminate main.py, press Q

Processing Information

All of the data gathered from the facial recognition model is logged into a csv file.

(The format of the CSV file)

People in the GYM			Teacher Around	Time
Name	Time	Flag	Yes/No	0

* Flags change color based on the time a student has been in frame.