Smart Surveillance System using Machine Learning for Real-Time Abnormal Activity Detection

Rakesh P; Praveena R; Poorani S; Ragavi G; Nithesh N; Sivaramakrishnan A

doi:10.36948/ijfmr.2026.v08i02.74244

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Smart Surveillance System using Machine Learning for Real-Time Abnormal Activity Detection

Author(s)	Mr. Rakesh P, Ms. Praveena R, Ms. Poorani S, Ms. Ragavi G, Mr. Nithesh N, Prof. Sivaramakrishnan A
Country	India
Abstract	This research presents an AI-powered smart surveillance system designed for real-time threat detection and monitoring. The system utilizes machine learning and computer vision techniques to analyze live video streams, images, and recorded footage. A deep learning-based model is implemented to detect suspicious or violent activities with high accuracy
Keywords	Artificial Intelligence, Machine Learning, Smart Surveillance, Threat Detection, Computer Vision, Deep Learning
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-16
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.74244

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2 Cover Page Vol 8 Isu 1 Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Smart Surveillance System using Machine Learning for Real-Time Abnormal Activity Detection

Share this