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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM23308
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.
Our project aims to develop a Real-Time Face Detection. In recent years, the field of computer vision has witnessed remarkable advancements, enabling the development of various applications related to face detection and recognition. Real-time face detection, in particular, has become a crucial aspect in numerous domains, including surveillance systems, human-computer interaction, and biometrics. This research paper presents an investigation into the implementation of real-time face detection using OpenCV (Open Source Computer Vision Library) and Python. The project aims to explore the potential of this powerful combination in detecting and tracking human faces accurately and efficiently. The findings of this study contribute to the broader understanding of face detection techniques and their practical applications.
KEYWORDS
Publication Date
10/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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