One of the most effective measures to control the recent viral outbreak of the COVID-19 virus is adapting Social Distancing in everyday life. To comply with this constraint, governments are adopting restrictions over the minimum interpersonal distance between people (6 feet). Thus, it is crucial to measure the distance between people in crowded places after unlock is implemented.

For this, we introduce the 6’ APART APP, an estimation of the interpersonal distance between people. This is a feasible solution as it helps police personnel to find citizens not complying by the social distancing norms. The app is made using JAVA and contains a pretrained object detection model which analyzes the input video.

• Programming Languages: Java, XML, and Python.
• Tools: Git, VSCode, Android Studio.
• Framework: Django REST.

The architecture of 6' APART APP is divided into three parts:

1. The frontend of the APP
2. The backend
3. Integration of the ML model used for object detection and tracking.

Homescreen -

Capture video screen -

Video being processed by the ML model at server-

Final output/analysed video screen -

git clone https://github.com/shubhmehta10/sixfeetapart.git
git checkout -b <branch-name>

python manage.py migrate
python manage.py makemigrations
python manage.py runserver

• Go to http://127.0.0.1:8000/

git add .
git commit -m "message"
git push origin <branch-name>

• MIT License

Meet the team.

• Mihir Paghdal
  • LinkedIn
• Parinda Pranami
  • LinkedIn
• Shubh Mehta
  • LinkedIn