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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48137

Real-Time Violence Detection and Alert System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48137

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48137

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NU

Neeraj Upadhyay

PTS

Prof. Tanya Sharma

MK

Mohit Karakoti

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Abstract

Personal safety and quality of life are seriously threatened by the violent acts. In order to curb the hostile conduct, numerous other strategies have been implemented, such as installing and maintaining surveillance systems. It will be extremely relevant if the monitoring systems are able to recognize violent conduct on their own and immediately send warning or alarm signals to the authorities. New researchers are drawn to the active study fields of computer vision and image processing for the detection of aggressive and aberrant conduct. In order to detect violence in video streams, this research suggests a real-time violence detection and alarm system that uses MobileNetV2 along with LSTM. The system offers a scalable, precise, and flexible public safety solution by utilizing a Telegram Bot for real-time alerting message.

KEYWORDS

MobileNetV2 Realtime detection LSTM Transfer learning Neural network callbacks RLVS.

Cite This Article

Neeraj Upadhyay, Prof. Tanya Sharma, Mohit Karakoti, "Real-Time Violence Detection and Alert System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48137

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Publication Date

5/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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