A Survey on Enhanced Weapon Detection System using Deep Learning

Fuente: Zenodo
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Autori principali: Neethu George, Shakeeb Rahman, Mohammed Haiz, Rahuldev T.S, Serin Simon
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2025
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author Neethu George
Shakeeb Rahman
Mohammed Haiz
Rahuldev T.S
Serin Simon
author_facet Neethu George
Shakeeb Rahman
Mohammed Haiz
Rahuldev T.S
Serin Simon
contents <p><em><span>Considering the increasing prevalence of criminal activities, this study introduces a novel deep learning model designed for accurate weapon detection. The model, based on the VGGNet architecture and implemented on TensorFlow, classifies seven weapon types: assault rifles, bazookas, grenades, hunting rifles, knives, pistols, and revolvers. Trained on a custom dataset, the model achieves an impressive 98.40% accuracy, surpassing VGG-16, ResNet-50, and ResNet-101. The proposed system addresses challenges like self-occlusion and complex backgrounds, offering practical applications for enhancing security</span></em><strong><span>.</span></strong></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_16606215
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle A Survey on Enhanced Weapon Detection System using Deep Learning
Neethu George
Shakeeb Rahman
Mohammed Haiz
Rahuldev T.S
Serin Simon
Deep Learning, TensorFlow, Weapon Detection System
<p><em><span>Considering the increasing prevalence of criminal activities, this study introduces a novel deep learning model designed for accurate weapon detection. The model, based on the VGGNet architecture and implemented on TensorFlow, classifies seven weapon types: assault rifles, bazookas, grenades, hunting rifles, knives, pistols, and revolvers. Trained on a custom dataset, the model achieves an impressive 98.40% accuracy, surpassing VGG-16, ResNet-50, and ResNet-101. The proposed system addresses challenges like self-occlusion and complex backgrounds, offering practical applications for enhancing security</span></em><strong><span>.</span></strong></p>
title A Survey on Enhanced Weapon Detection System using Deep Learning
topic Deep Learning, TensorFlow, Weapon Detection System
url https://doi.org/10.5281/zenodo.16606215