Face Recognition Attendance System
Ayush Atul Hate
Ayush Atul Hate, Computer Science and Engineering, Visvesvaraiya Technological University – CMR Institute of Technology, Bangalore, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1092-1095 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6584068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Taking attendance in classrooms, especially in large college classrooms, is a tedious, time consuming task which is error prone and a nuisance to the flow of teaching. The Face Recognition Attendance System presents a merger of the novel technology of ‘Facial Recognition’ to help alleviate the overhead of this mundane task. This face recognition implementation aims to complete the entire task of taking attendance and updating a database in a fraction of the time normally taken using one or more pictures of the class. The Face Recognition Attendance System leverages the programming languages of Python using the OpenCV package for the main image processing task and a web technology stack of HTML, CSS, and PHP for the front end system for ease of use for the end users.
Keyword: Attendance System, Facial Recognition, Open CV, Python.
Scope of the Article: Digital System and Logic Design.