Weapon Detection Using Genai and Yolo

In order to improve real-time weapon identification, we recommend integrating the You Only Look Once (YOLO) series algorithms with Generative AI (GenAl). It uses the capabilities of GenAl to generate and improve image datasets, which are necessary for training comparable, precise models. Because of these progressive principles, YOLO can quickly and accurately identify weapons in these environments. Since the method combines the global generation features of GenAl with the regional detection efficacy in YOLO, it improves detection rates and reduces false discoveries. Also, enhancing the dependability of monitoring systems in the most susceptible areas (e.g., airports, schools, public areas), this collaboration facilitates the faster assessment and management of the threat level. The integration of both technologies would be a significant and forward-thinking step in public safety and security.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910535
Citations
1
Primary Topic
Video Analysis and Summarization
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Weapon Detection Using Genai and Yolo

R Ranjith, S. Suganthan, G. Brindha, S Srinithin
1 citations
Video Analysis and Summarization
0.25
article

Weapon Detection Using Genai and Yolo

R Ranjith, S. Suganthan, G. Brindha, S Srinithin
article en
1 citations

Abstract

In order to improve real-time weapon identification, we recommend integrating the You Only Look Once (YOLO) series algorithms with Generative AI (GenAl). It uses the capabilities of GenAl to generate and improve image datasets, which are necessary for training comparable, precise models. Because of these progressive principles, YOLO can quickly and accurately identify weapons in these environments. Since the method combines the global generation features of GenAl with the regional detection efficacy in YOLO, it improves detection rates and reduces false discoveries. Also, enhancing the dependability of monitoring systems in the most susceptible areas (e.g., airports, schools, public areas), this collaboration facilitates the faster assessment and management of the threat level. The integration of both technologies would be a significant and forward-thinking step in public safety and security.

St. Joseph's Institute of Technology (IN)
Openalex Percentile: Top 41%
Video Analysis and Summarization
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.