FACE RECOGNITION AND ATTENDANCE LIST USING PYTHON

Abstract

Face recognition is a must-have technology these days. In addition, they have various uses, such as Cell phones, etc. In this project, I recognised the face as the student attendance system, which can replace the regular paper attendance system and fingerprint attendance system. I used Python to create this project, as it is constructive in the face and other usage logs. This project is based on the main program, which detects and detects faces using the HOG algorithm with values and parameters. In addition, the subsystem is in a CSV file sheet (later, you can create an Excel spreadsheet, database integration and analysis with the deep neural network). This is integrated into the program and filled with names and face recognition time. The system has two main sections, which are 1) Face detection with face recognition algorithm and keep updating as data is fed in. 2) When the images are uploaded to the system (i.e., by students, administrators, or anyone can upload), it is then saved as a CSV file, which we can use for deeper analysis and statistical data.