Development and Performance Analysis of An Automated Attendance System Based on Faced Detection
AbstractAn Automated Attendance System based on face detection are focused on developing an attendance system by using a face detection. The face detection program develops using Python include with an open source algorithm for face detection, OpenCV. The program sends the data to the database as the face detected and the system will mark the attendance for the person in database as attend. The attendance can be verified through HTML output interface. The performance analysis is based on the time taken to detect number of faces and the accuracy of the face detection.
Submission of an original manuscript to the Journal of Computing Technologies and Creative Content (JTeC) will be taken to mean that it represents original work not previoussly published, that it is not being considered elsewhere for publication. All submitted articles that are published by JTeC cannot be published anywhere by the authors unless with the permission by JTeC Editors. JTeC reserves the right to the publications of the articles it published, and reserves the right to reuse the articles elsewhere for academic purposes, while still retaining the names of the original authors with the original articles.
JTeC takes the stance that the publication of scholarly research is meant to disseminate knowledge and in a not-for-profit regime, benefits neither publisher nor author financially. It sees itself as having obligation to its author and to society to make content available online now that the technology allows for such possibility.