Face Detection with Machine Learning and Open CV Classifier

Authors

  • Dr. Priya Swaminarayan
  • Mr. Manoj Nath
  • Miss. Bipasha Mandal

DOI:

https://doi.org/10.46243/jst.2020.v5.i6.pp100-106

Keywords:

Machine Learning, Face detection, Attendance Recording System via Camera, Mask Detection System

Abstract

In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module.

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Published

2024-05-03

How to Cite

Dr. Priya Swaminarayan, Mr. Manoj Nath, & Miss. Bipasha Mandal. (2024). Face Detection with Machine Learning and Open CV Classifier. Journal of Science & Technology (JST), 5(6), 100–106. https://doi.org/10.46243/jst.2020.v5.i6.pp100-106