Year: 2025
Type: article
Abstract: ABSTRACT 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: Real-time Monitoring, AlertCam, Machine Learning, Facial Recognition, Automated Alert, Smart campus security.
DOI: 10.55041/ijsrem48720
Author: Mr. Karthiban R
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410744993