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.
