Python implementation of simple face recognition based attendance system using face_recognition library.

A real time face recognition of students and employees for their attendance. The attendance record is stored on a google sheet over the cloud and updates regarding the attendance is directly sent to the user via gmail. An android app is also provided for the end user.

How to execute this project

Check the detailed step by step guide available at https://www.youtube.com/watch?v=cPm6saam3aY

Basic project flow

local db of face and their encodings ------> face recognition--------> mark attendance in gsheets----->email alerts----->android app

Methodology of the system: • Capture a video and check each frame for person. • If any person is detected , detect the face and crop the frame around his face. • Generate facial features of that face and match these with the local database. • If the facial features are matched get the name of the person from the local database. • Get the date and name of the person detected and update the attendance in the google sheet.
• Get the email id of the person from the google sheet and send a mail regarding the attendance status.

Methodology for face recognition:

• Capture a video and process each other frame. • Resize the image to 1/4th of the original frame. • Convert the image from BGR to RGB. • generate a 128 byte array of data for each face detected. • Compare this array with the existing arrays in the local database. • Calculate Euclidian distance from each face in the local database and get the index of minimum distance. • Get the name of the best match index.