https://github.com/roboflow/rickblocker

Audio visual mitigation of Rickrolls using computer vision.
https://github.com/roboflow/rickblocker

april-fools computer-vision rickroll roboflow security

Last synced: 12 months ago
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Audio visual mitigation of Rickrolls using computer vision.

• Host: GitHub
• URL: https://github.com/roboflow/rickblocker
• Owner: roboflow
• License: mit
• Created: 2022-04-01T18:45:47.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-03-27T23:58:21.000Z (about 2 years ago)
• Last Synced: 2025-06-21T09:05:23.578Z (12 months ago)
• Topics: april-fools, computer-vision, rickroll, roboflow, security
• Language: JavaScript
• Homepage: https://blog.roboflow.com/rick-realtime-intrusion-checker-kernel/
• Size: 52.7 KB
• Stars: 15
• Watchers: 5
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Computer Vision Rick Astley Muter

This project utilizes an advanced computer vision model to mute your

speakers when Rick Astley is detected on your screen.

https://user-images.githubusercontent.com/870796/161333961-6f4ba4c9-0ce3-4087-9e44-96caa01aca0c.mp4

* [See it in action on YouTube](https://youtu.be/uDUFPrNmBNU),

* [Read more on our blog](https://blog.roboflow.com/rick-realtime-intrusion-checker-kernel/) or

* [Download the dataset](https://universe.roboflow.com/april-public-yibrz/never-gonna/2/export) and [try the model](https://universe.roboflow.com/april-public-yibrz/never-gonna) on [Roboflow Universe](https://universe.roboflow.com).

## How to Use

Use [OBS](https://obsproject.com/)'s Virtual Camera feature to pipe your screen through

to your web browser.

Clone this repo, cd into the `server` directory and `npm install` the dependencies.

Start the web server with `sudo node index.js`.

Navigate to `http://localhost:5000` and use OBS Webcam as the video source.

Try to rickroll yourself. Your audio will mute when Rick is on screen and unmute otherwise.

## Tools Used

The data behind the model was collected, annotated, and trained using

a free [Roboflow](https://roboflow.com) account.