Design and Development of Classroom Face Recognition-Based Door Lock Using High Level Programming Languages

Vol.3, No.1A

Authors

  • Bonjohn B. Quimada Bestlink College of the Philippines
  • Joel A. Dangani Bestlink College of the Philippines
  • Leo Andrew M. Reyes Bestlink College of the Philippines
  • Bianca M. Turing Bestlink College of the Philippines
  • Hilda Grace M. Rasonabe Bestlink College of the Philippines

Keywords:

Face Recognition, Detection, Recognition, OpenCV, Biometrics, Python, Raspberry Pi

Abstract

Face Recognition is the technique of recognizing and validating an individual’s identification by looking at their face. It is used in the fields of identification and recognition. This paper outlines a strategy for integrating a student attendance system with facial recognition technology utilizing the Open Computer Vision (Open CV) algorithm. Students’ attendance is traditionally taken manually using an attendance sheet provided by faculty members in class, which is time-consuming. Furthermore, verifying whether authenticated students respond in a large classroom with distributed branches is tough. The researcher used existing data, a questionnaire, and an observation device for data collection. The study focused on the respondents of the College of Arts, Science, and Engineering (CASE).

 

The researcher used a purposive sample under non-random sampling. According to the survey, a total of the respondents based on usability based on our survey done within 100 respondents (70%) agree with our ten questions answered, 20% sometimes, and 10% disagree with our questionnaires. The researchers showed how facial recognition may be utilized in an effective attendance system to automatically record an enrolled individual’s presence within the presence venue in this study.

Published

2024-04-22

How to Cite

Quimada, B. B. ., Dangani, J. A. ., Reyes, L. A. M. ., Turing, B. M. ., & Rasonabe, H. G. M. . (2024). Design and Development of Classroom Face Recognition-Based Door Lock Using High Level Programming Languages: Vol.3, No.1A. Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 3(1A). Retrieved from https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/12763