ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Secure Vision AI: Deep Learning-Based Real-Time Violence Detection
Authors
K N Rakshitha , Lavanya S , Bindu S , Saniya Khanum
Keywords
Secure Vision AI, Violence Detection, CNN, LSTM, Deep Learning, Real-Time Surveillance, Computer Vision
Abstract
Secure Vision AI addresses the growing challenge of detecting violent and suspicious activities in video surveillance systems. Traditional monitoring methods rely heavily on human observation, which often leads to delayed responses and missed incidents. This work presents a deep learning-based real-time violence detection framework that combines Convolutional Neural Networks (CNN) for spatial feature extraction with Long Short-Term Memory (LSTM) networks for temporal analysis. Live video streams are processed, pre-processed, and analyzed to identify violent actions with high accuracy. The system generates instant alerts and securely stores detection results using Supa base for future analysis. Experimental evaluation demonstrates that the hybrid CNN-LSTM model outperforms individual models in terms of accuracy, precision, recall, and F1-score, making it suitable for real-time surveillance applications.
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How To Cite
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IJCRT — journal style
"Secure Vision AI: Deep Learning-Based Real-Time Violence Detection", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.a754-a759, February 2026, Available :https://ijcrt.org/papers/IJCRT2602086.pdf
APA — 7th edition
Rakshitha, K. N., S, L., S, B., & Khanum, S. (2026). Secure Vision AI: Deep Learning-Based Real-Time Violence Detection. International Journal of Creative Research Thoughts, 14(2), a754-a759. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086
MLA — 9th edition
Rakshitha, K N, et al. "Secure Vision AI: Deep Learning-Based Real-Time Violence Detection." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. a754-a759, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086.
Chicago — 17th, bibliography
Rakshitha, K N, et al. "Secure Vision AI: Deep Learning-Based Real-Time Violence Detection." International Journal of Creative Research Thoughts 14, no. 2 (2026): a754-a759. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086.
Harvard — author–date
Rakshitha, K.N. et al. (2026) 'Secure Vision AI: Deep Learning-Based Real-Time Violence Detection', International Journal of Creative Research Thoughts, 14(2), pp. a754-a759. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086
IEEE — numbered reference
K. N. Rakshitha, L. S, B. S and S. Khanum, "Secure Vision AI: Deep Learning-Based Real-Time Violence Detection," IJCRT, vol. 14, no. 2, pp. a754-a759, Feb. 2026.
Vancouver — biomedical
Rakshitha KN, S L, S B, Khanum S. Secure Vision AI: Deep Learning-Based Real-Time Violence Detection. IJCRT. 2026 Feb;14(2):a754-a759.
AMA — 11th edition
Rakshitha KN, S L, S B, Khanum S. Secure Vision AI: Deep Learning-Based Real-Time Violence Detection. IJCRT. 2026;14(2):a754-a759. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602086,
author = {K N Rakshitha and Lavanya S and Bindu S and Saniya Khanum},
title = {Secure Vision AI: Deep Learning-Based Real-Time Violence Detection},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {2},
pages = {a754-a759},
year = {2026},
month = {February},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Rakshitha, K N
AU - S, Lavanya
AU - S, Bindu
AU - Khanum, Saniya
TI - Secure Vision AI: Deep Learning-Based Real-Time Violence Detection
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 2
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086
SP - a754-a759
ER -
Issue
Volume 14 Issue 2,
February-2026
Pages : a754-a759
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 14, Issue 2, February 2026
- Pages
- a754-a759
- Published
- February 2026
- Registration ID
- IJCRT_301072
- Published Paper ID
- IJCRT2602086
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Shivamogga, Karnataka, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 264
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602086
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2602086.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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