Skip to content

Project-IHU/Ihu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

32 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Ihu

The Ihu repository contains the codebase that runs on the raspberry-side of Project Ihu.

Getting started

This code was tested on the Raspbian Buster OS in a virtual machine but would probably work just fine with the Raspberry Pi 4/3/2 running on a similar Raspbian OS. If you using a Raspberry Pi to run, I would recommend at least a class 10, 16GB SD card to go with it. If you are running from a virtual machine you may want to allocate at least 32GB storage, 2GB RAM and 64MB video memory for this to work properly.

Software Requirements

  1. Raspbian OS For Desktop (Click to download the latest release).
  2. Open CV
  3. Face_recognition Library
  4. VirtualBox, if you would be running a virtual machine. Click here to download.

Setup Steps.

Here are some useful url's to help guide you in installing some of the software requirements for this program.

  1. Installing Raspbian OS for Desktop in Virtual Box
  2. Installing OpenCV on the Raspberry Pi
  3. Installing dlib and face_recognition library on Raspberry Pi

Once you have all the necessary requirements setup, run the program on any python editor and see it work like a spark. 'PS: ensure a webcam is connected.' Cheers!

About

Let's help you crack down on examination impersonators with our facial recognition solution.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages