AI-Driven Video Violence Detection Using CNN-LSTM Architecture and Generative AI for Incident Explanation

Yalla Venkat; M. Chaitrika; V. Veera Sai Manikanta; Y. Prudhvi; S. Asha Jyothi

doi:10.64643/ijirtv12i11-197128-459

April 13, 2026International Journal of Innovative Research in TechnologyOpen Access

AI-Driven Video Violence Detection Using CNN-LSTM Architecture and Generative AI for Incident Explanation

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Key Points

This study aims to evaluate the effectiveness of AI in detecting violence in video footage.
Utilized CNN-LSTM architecture for video violence detection
Implemented generative AI for incident explanations
Achieved high accuracy in identifying violent incidents
Demonstrated robust incident explanation capabilities with AI

Implication

Demonstrates effectiveness of AI-driven violence detection in videos, suggesting improved safety measures.

Abstract

Explore the article titled AI-Driven Video Violence Detection Using CNN-LSTM Architecture and Generative AI for Incident Explanation from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Venkat et al. (2026) studied this question.

synapsesocial.com/papers/69ec5a4488ba6daa22dabe3c https://doi.org/10.64643/ijirtv12i11-197128-459

View Full Paper

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AI-Driven Video Violence Detection Using CNN-LSTM Architecture and Generative AI for Incident Explanation

Key Points

Implication

Abstract

Discussion

Cite This Study

AI-Driven Video Violence Detection Using CNN-LSTM Architecture and Generative AI for Incident Explanation

Key Points

Implication

Abstract

Discussion

Cite This Study

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