Simple project about face recognition. Based on college project DS_2_2018 . Aiming to use face recognition to control access at college's restaurant. The system was embedded in a Raspberry pi 3(SoC) and tested in different environments. There are a local database base on sqlite3, A server in Apache to editing the database while face recognition system are running and relay to send signal to open the door - control by Raspberry Pi GPIO.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

OpenCv 3.4.4
Qt version: 4.8.7
SIP version: 4.19.7
sqlite3 2, 6, 0
Numpy 

• Create an empty Folder named "dataset" in the same directory where the python scripts are
• Create an empty folder called "trainer" In same directory

• Run on terminal "python3 exe.py".

• Type "3" and press enter "3 -> Edit database".

• Type "1 -> Table create" and a sqlite3 table will be create.

• Make a new register typing "1".

• Write your name.

• Write your id number (max 8 numbers)

• Look to your camera and wait(Photos will be save in "dataset").

• OpenCV API will training the photos in the file "trainer"

• Than you can start "2 -> Face Recognition".

• In "3 -> Edit database".

• Adding Credits. Just type your id number and how much money to add.

• OpenCV - API used
• Python3 - Main language
• NumPy - Key API

• João Vitor Rodrigues Baptista - Initial work - helpthx

This project is licensed under the MIT License - see the LICENSE.md file for details

• Based on original code by Anirban Kar: Face-Recognition