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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23251
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Real-time eye detection is a computer vision technique used to detect the presence and location of eyes in real-time video streams. The technique is widely used in a variety of applications, such as driver monitoring systems, surveillance systems, and human-computer interaction. OpenCV is an opensource computer vision library that provides a wide range of tools and functions for image processing and analysis. One of the most popular techniques for real-time eye detection using OpenCV is Haar cascades. Haar cascades are classifiers that can detect specific objects by analyzing their features. The Haar cascades classifier is trained using a set of positive and negative images of the object of interest.
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Publication Date
9/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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