Face Liveness Detection Anti Spoofing Web App

Face Liveness Detection (Anti-Spoofing) Web App

A Streamlit WebRTC web app that can identify whether a face comes from a real person or a fake person and prevents the system from giving false verification.

Inspiration

https://github.com/jomariya23156/face-recognition-with-liveness-web-login

I would highly suggest all of you to take a look at this wonderful repo which served as the inspiration for my project.

Drawback of approach

The drawback of the approach taken by jomariya23156 is that although he claims that it is a web app it cannot be used in a server-client scenario as it lacks basic webrtc features.

For more info, please check out this link: https://blog.streamlit.io/how-to-build-the-streamlit-webrtc-component/

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App Features

• calculates real and fake ratios
• uses Streamlit's WebRTC features

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Quick start

Start developing locally.

Step 1: Clone the repo

Fork the repository. then clone the repo locally by doing -

git clone https://github.com/birdowl21/Face-Liveness-Detection-Anti-Spoofing-Web-App.git

Step 2: Create a virtual environment and activate it. (note: I have used pip)

pip install virtualenv
python -m venv [env-name]
[env-name]Scriptsactivate 

Step 3: cd into the directory

cd Face-Liveness-Detection-Anti-Spoofing-Web-App

Step 4: Install dependencies

pip install -r requirements.txt

Step 5: And you are good to go!

streamlit run app.py

You should now have the application running and accessible at http://localhost:8501.

Step 6 (Optional): Deploy and enjoy!

You could deploy the app to cloud platforms such as Streamlit-sharing and Heroku.

Deployment links:

• https://blog.jcharistech.com/2019/10/24/how-to-deploy-your-streamlit-apps-to-heroku/#:~:text=%20How%20to%20Deploy%20Your%20Streamlit%20Apps%20to,CLI.%20%20...%20The%20yourappname%20is...%20More%20
• https://towardsdatascience.com/deploying-a-basic-streamlit-app-ceadae286fd0#:~:text=To%20deploy%20the%20app%20to%20Streamlit%20Sharing%2C%20we,the%20screenshot%20of%20the%20deployment%20page%20on%20streamlit.io.

If you are facing issues with deploying the app remotely, please refer to this link: https://docs.streamlit.io/knowledge-base/deploy/remote-start

Sample Output

Normal

With picture

With video

✌️ Contributing

After cloning & setting up the local project you can push the changes to your github fork and make a pull request.

Pushing the changes

git add .
git commit -m "feat: added new stuff"
git push YOUR_REPO_URL develop

Project Limitations

• can run on only 3-4 devices at a time.
• doesn't work well in bright background light.
• performance varies from browser to browser: Works fast on Chrome and Firefox but is slow on Edge.

That's all folks!