 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: June 2026
Volume 11 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24737
Article Published : 9361
Total Authors : 24875
Total Reviewer : 861
Total Countries : 169
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Real-Time Violence and Weapon Detection System Using Deep Learning for Intelligent CCTV Surveillance |
| Authors Name: | Praveen P , Abinaya Suky S , Kota Kondla Krishna mohan , Vignesh M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212042
|
| Published Paper Id: | IJRTI2605044 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The increasing rate of violent incidents and security threats in public areas demands intelligent surveillance systems capable of real-time monitoring and automated threat detection. Traditional CCTV systems rely heavily on manual observation, which is inefficient and prone to human error. This paper proposes a real-time AI-based surveillance system that detects violent activities and weapons using deep learning techniques. The system integrates YOLOv8s for high-speed object detection, identifying persons and weapons such as guns and knives, with a hybrid CNN model for temporal violence classification. Additionally, a real using Telegram API ensures immediate -time alert mechanism -LSTM notification to authorities upon detecting suspicious events. A Flask-based web dashboard is developed to provide live camera streaming and video upload functionalities, enabling flexible monitoring. Experimental evaluation shows that the proposed system achieves an accuracy of approximately 94%, with low latency suitable for real-time deployment. The system demonstrates high reliability in diverse conditions and offers a scalable solution for smart surveillance applications. |
| Keywords: | Violence Detection, Weapon Detection, YOLOv8, CNN-LSTM, Real-Time Surveillance, Deep Learning, CCTV, Object Detection, Telegram Alert, Flask Web Application. |
| Cite Article: | "Real-Time Violence and Weapon Detection System Using Deep Learning for Intelligent CCTV Surveillance", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a387-a398, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605044.pdf |
| Downloads: | 000205586 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2605044
Registration ID:212042
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a387-a398 Country: coimbatore, tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605044 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605044 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||