face_attendance

Installation

• Linux, Mac or Windows

Requirements

• install python 3
• install pip.
• install Mysql (Community edition)
• install Cmake (on windows just install Visual Studio 2019 or newer with desktop development with C++ option checked)
• open terminal or cmd in project folder and run pip3 install -r requirements.txt

Should work on Windows, Linux and Mac (Only Windows and Linux tested though)

• You might want to install the following before installing requirements.
• Cmake
• On windows, you must install Microsoft Visual Studio 2019 (or newer) with C/C++ Compiler installed (Check desktop development with c++ option).

Files and Folders:

• /img: Folder to Save images of faces to recognize
• README.md: Contains all info and instructions for app
• attendancedb: This is where the Database is stored
• face_attendance.py: This is the app that does the matching and writing databases

dependencies/libraries used:

• OpenCV (cv2) for getting access to camera
• face_recognition for identifying faces and running recognitions
• datetime for getting access to and date-stamping
• mysql connector for creating, connecting and manipulating databases

Usage

• Make sure all requirements are in place
• If first time using,
• 1. create database with the mysql script (01 - Create Database.sql)
• 2. Open face_attendance.py with a text editor (notepad or any) go to line 8, change user and password to your database user and password.
• Name image files with simple short names, note image file extensions and copy to 'img' folder
• Configure by running register_staff.py with python (run python register_staff.py on windows or python3 register_face.py on Mac/Linux) and follow the prompts
• After successfully registering all staffs, make sure camera is connected
• Run face_attendance and it'll automatically start register after a known person gets in camera
• Attendance is stored in attended table.
• Continue your daily activities or grab a cup and coffee and sleep after that.

Thanks

• Nick
• Prof. David J. Malan
• Brian Yu
• Doug Llyod
• All CS50 team
• Students of CS50
• All Computer Scientists around the globe.