These instructions will give you opportunity to buil your own Smart Door with Face Recognition

What you need to install

• OpenCV I am using a Raspberry Pi V3 updated to the last version of Raspbian (Stretch), so the best way to have OpenCV installed, is to follow the excellent tutorial developed by Adrian Rosebrock

https://www.pyimagesearch.com/2017/09/04/raspbian-stretch-install-opencv-3-python-on-your-raspberry-pi/

Adrian recommends run the command "source" each time you open up a new terminal to ensure your system variables have been set up correctly.

source ~/.profile

Next, let's enter on our virtual environment:

workon cv

If you see the text (cv) preceding your prompt, then you are in the cv virtual environment:

(cv) pi@raspberry:~$

In case you get an errar like: OpenCV Error: Assertion failed , you can try solve the issue, using the command:

sudo modprobe bcm2835-v4l2

A step by step series of examples that tell you how to get a development env running

Face Detection Download the file:

• Face Dataset - We added, was an "input command" to capture a user id, that should be an integer number (1, 2, 3, etc)
• Face Training - We must take all user data from our dataset and "trainer" the OpenCV Recognizer. This is done directly by a specific OpenCV function. The result will be a .yml file that will be saved on a "trainer/" directory.
• Door - The main program of this project

Based on project of Mr.Marcelo Provai

• Marcelo Provai - Initial work - Github Developed by Tran Vinh Liem

See also the list of my Git who participated in this project.