Abstract :

This Project Develops An Artificial Intelligence-based Human Activity Recognition System For Enhanced Surveillance. Using Advanced AI And Computer Vision, The System Automatically Detects And Identifies Various Human Activities In Real-time, Enabling Faster And More Accurate Monitoring Compared To Traditional Methods That Rely On Manual Observation Or Simple Motion Detection. By Understanding Specific Actions, The System Improves Security By Providing Timely Alerts And Reducing The Need For Constant Human Supervision, Making It A Cost-effective And Efficient Solution. It Offers A Contactless And Non-intrusive Way To Monitor Environments, Suitable For Public Spaces, Workplaces, And Homes. Unlike Conventional Surveillance Systems That Lack Detailed Activity Recognition, This AI-driven Approach Enhances Situational Awareness And Supports Proactive Responses To Potential Threats. Overall, The Project Delivers A Smart, Reliable, And Practical Solution To Improve Safety And Automation In Surveillance Through Intelligent Human Activity Recognition.

Published:

29-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1413-1419

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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