Facial Recognition Based Attendance System
This is a python-based application which provides an involuntary attendance marking system that operates without human intervention. It intends to serve as an efficient substitute for traditional manual attendance systems. ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence
Overview / Usage
Facial recognition is a technology that has become increasingly popular due to technological advancement, with applications in passport offices, airports, police stations, ATMs/banks, and organizations. It is used to detect fraud and prevent data misuse, and is also used in web applications, social networking websites, and smartphones. Its role is to verify a human identity and prevent fraud. Face recognition is a biometric recognition technique. Biometric recognition is an information system that allows the identification of a person based on some of its main physiological and behavioral characteristics. Face recognition is a broad problem of identifying or verifying people in photographs and videos, a process comprised of detection, alignment, feature extraction.
Methodology / Approach
This is used by the means of oneAPI to perform facial recognition and record the data in a csv file to set up attendance.
Technologies Used
Machine Learning
Data Analytics
Documents and Presentations
Repository
https://github.com/HemantDutta/IntelHackathon_frontend.git
Other links
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