Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/balavenkatesh3322/face_unlock

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).
https://github.com/balavenkatesh3322/face_unlock

computer-vision face-recognition lockscreen numpy opencv os python3 security-automation ubuntu

Last synced: about 2 months ago
JSON representation

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

Awesome Lists containing this project

README

        

# Lock/Unlock Ubuntu OS

## Introduction
We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

## Article about implementation
[Automatically Locking & Unlocking Ubuntu with Computer Vision Using a Human Face!!!](https://medium.com/p/automatically-locking-unlocking-ubuntu-with-computer-vision-using-a-human-face-db35cbe312f7?source=email-7d2dbe2d619d--writer.postDistributed&sk=b7d25089643c2c719eb6e36aecfef085)

## Demo
![Demo video](demo.gif)

## Requirements

Install below the required library in your local machine.

1) python 3.7
2) opencv 4.1.0
3) numpy
4) face-recognition
5) sudo apt-get install gnome-screensaver
6) sudo apt-get install xdotool

## Quick Start
I have used three python files to solve this issue.

1) **face_generate.py**
 This will detect your face and save it in the dataset folder then the new folder will create with your name.
 
2) **face_train.py**
 This python file will open the dataset folder and take your image from that and train your face using the K-nearest neighbor algorithm and face_recognition library.
 
3) **face_unlock.py**
 This is an important python file that will detect your face using the webcam and unlock the system.

## Having problems?

If you run into problems, Please feel free to connect me on [Linkedin](https://www.linkedin.com/in/bala-venkatesh-67964247/) and [Twitter](https://twitter.com/balavenkatesh22)

## Contributing

Code contributions are also very welcome. feel free to open an issue for that too.

To do:
- [ ] Support Windows and Mac OS.
- [ ] Train face using browser(UI).
- [ ] Increase performance and speed.