|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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: April 2024
Volume 9 | Issue 4
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 : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Real-Time Anomaly Detection Surveillance System |
| Authors Name: | Chhabil Nagar , Hemant , Nakul Kaushik , Nayan Tuteja , Rachana Sharma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_199627
|
| Published Paper Id: | IJNRD2306358 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Abstract— Today's age put a significant amount of emphasis on monitoring systems. It has received a lot of research recently due to its connection to picture understanding and video analysis. More effective tools that can extract high information content are introduced into the system when artificial intelligence, deep learning, and machine learning are integrated to address the issues with standard style. Most anomaly detection tools focus on indoor surveillance and activity monitoring, which help identify abnormal behavior by watching the live stream footage. The most important of them all is the detection of human nature. It is the most strange behavior, which makes it difficult to assess whether it is normal or suspicious. This study demonstrates how in-depth learning can be used to spot odd behaviour on college or high school campuses. Employing consecutive camera frames obtained from a video, the monitoring is done. We will use our model to find the abnormal behaviour in the extracted camera frames. As soon as an anomaly is found, the stream is saved, alerting the relevant people. Therefore, we only need to save the portion of the video where the anomaly is occurring, rather than recording the entire feed. The system is composed of two parts. In the first section, features will be computed from the live video stream, and the classifier will use those features to forecast the anomaly in the second section. The proposed system can recognize the anomalies with a loss of 4.795. Keywords— LSTM, CNN, Autoencoders, Reconstruction error, Regularity Score |
| Keywords: | Anomaly Detection , CNN |
| Cite Article: | "Real-Time Anomaly Detection Surveillance System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d566-d572, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306358.pdf |
| Downloads: | 000118763 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2306358 Registration ID: 199627 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: d566-d572 Country: Greater Noida West, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306358 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306358 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn