GreenLight

The goal of this project is to design a software intending to conserve electricity based on human detection. This system will use a simple CCTV camera to detect human presence and light presence in classrooms. In case the classroom is detected empty and the lights are on, the system will notify the administrator regarding the same via a live notification Furthermore this system will allow the administrator to have access to the real time status of all classrooms in the campus through a website. This system will make administration easier and prevent unnecessary electricity wastage.

Pre-Requisites:

1. A working CCTV camera. If a cctv camera is unavailable, apps like Droid Cam can be used to make the phone work as a cctv camera. The phone or the CCTV camera and the server should be connected to the same Local Network.
2. The host server or computer should meet the requirements of YOLOv3.

Tech Stack

Client: ReactJs

Server: Python, Django-Rest-Framework

Database: SQLite

Run Locally

1. Clone the project

git clone https://github.com/Chandravo/GreenLight

2. Download YOLOv3 config and weights folder from here. Unzip the file. Copy the YOLO folder and paste it inside the app folder of the cloned project.

3. Navigate to yolo folder inside the YOLO folder. Inside the folder there are 3 files : coco.names, yolov3.cfg, yolov3.weights. Copy the path of each one of them and replace their path inside "gen" function inside views.py inside the app folder.

4. Navigate to project directory in terminal

cd backend/config

5. We recommend you to use virtual environment

  python -m venv env

Activate virtual environment

  For Windows PowerShell

    env/Scripts/activate.ps1

  For Linux and MacOS

    source env/bin/activate

6. Install dependencies

  pip install -r requirements.txt

7. Add Secret Key : Go to project's settings.py file and change the value of SECRET_KEY variable to desired secret key. You can generate a new secret key here

8. Run Migrations

 python manage.py makemigrations

 python manage.py migrate

9. Create new superuser

python manage.py createsuperuser

10. Start the backend server

  python manage.py runserver

11. Navigate to the frontend folder

  cd ../..
  cd frontend

12. Start the client server

  npm install
  npm start

13. Go to localhost:8000/admin and login with the details of the superuser. Click on room option under app category.

Click on "ADD ROOM +"

Enter the room name and the video endpoint of the CCTV camera

14. The site is ready now. Go to localhost:3000 to start.

Made by :

Chandravo Bhattacharya

Tijil Malhotra

Avirat Sharma