Python based analysis of face detection attendance system
Author(s):
Aishwarya Udaykumar Gawale, Dr. Girish . A . Kulkarni
Keywords:
Face detection, automation, attendance tracking, security, administration.
Abstract
The proposed Face Detection Attendance System is a technological solution designed to automate and enhance the traditional attendance tracking process in various domains. This system leverages computer vision and facial recognition techniques to accurately identify and record the presence of individuals, offering a secure and efficient alternative to conventional attendance methods. The primary objective of this system is to streamline attendance management, reduce administrative burdens, and enhance overall organizational efficiency. The key components of the Face Detection Attendance System include image capture, facial feature extraction, and matching against a pre-registered database. Utilizing advanced machine learning algorithms, the system can robustly identify and authenticate individuals based on unique facial characteristics. The process involves capturing real-time images of individuals, extracting distinctive facial features, and comparing them with the pre-existing data to determine identity. The system then logs attendance information in a centralized database, providing real-time access to attendance records for administrators. The 1st part deals with introduction. Literature review is done from which research gaps are identified to formulate a problem statement and this is done in the 2nd and 3rd part. In the 4th part methodology of implementation is given. Also the 5th part deals with result and performance of system. And finally conclusion with future scope are presented below.
Article Details
Unique Paper ID: 162931

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 457 - 462
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