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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM38763
Volume:
8 |
11 |
Nov 2024
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.
With the increasing need for intelligent surveillance systems, our web application integrates three essential modules: motion detection, face recognition, and face mask detection. These features work together to monitor environments, identify individuals, and ensure compliance with health guidelines. The system aims to enhance security and safety across various settings by offering real-time monitoring, recognition, and alerting capabilities. This application leverages advanced algorithms such as deep learning and computer vision to improve accuracy and efficiency. It provides a scalable solution adaptable to a range of environments, from public spaces to enterprises, addressing modern challenges like identity verification and pandemic management.
KEYWORDS
Publication Date
11/16/2024
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.
Funding Information
No funding information available for this research.
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