This paper implements automatic gun (or) weapon detection using a convolution neural network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation uses two types of

Sep 27, 2021 · Various automated convolutional neural networks (CNN) weapon detection systems have been proposed in the past to generate good results. However, These …

Nov 29, 2023 · Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs. Iterate.ai has open-sourced a powerful Weapons Detection AI software. The …

Abstract: This study elucidates an automatic detection of weapons used in military based on deep learning. It utilizes multi-level CNN architecture with three layers of CNN to classify three kinds …

Nov 1, 2021 · This paper implements automatic gun (or) weapon detection using a convolution neural network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation …

In this research work, we aim to develop a smart surveillance security system detecting weapons specifically guns. For this purpose, we have applied few compute vision methods and machine …

This paper implements automatic gun (or) weapon detection using a convolution neural network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation uses two types of …

Shenghao Xu developed a weapon detection system based on TensorFlow, which is an open- source platform for machine learning; the Single Shot Multi Box Detector (SSD), a popular …

A Weapon Detection software is a very efficient way to monitor the streets and alert the operator only when there is a situation where people carrying a weapon like a gun or knife can be …

Jan 1, 2022 · Various automated convolutional neural networks (CNN) weapon detection systems have been proposed in the past to generate good results. However, These techniques have …