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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48720
Volume:
9 |
5 |
May 2025
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.
In the era of increasing security challenges, traditional surveillance systems are often limited by manual monitoring and delayed response. This project, AlertCam, presents a smart security solution that leverages machine learning to enable real-time monitoring and automated threat detection. By using live video feeds and intelligent algorithms such as facial recognition and motion analysis, the system can accurately identify unauthorized access or suspicious behavior. Upon detection, it immediately sends alerts through SMS or cloud-based notifications to ensure swift action. AlertCam is a scalable and efficient security system suitable for campuses, homes, and workplaces, aiming to enhance safety through automation and intelligent decision-making.
KEYWORDS
Publication Date
5/25/2025
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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