weapon detection using a convolution neural network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation uses two types of datasets. One dataset, which had pre …

Feb 12, 2021 · This work focuses on providing a secure place using CCTV footage as a source to detect harmful weapons by applying the state of the art open-source deep learning algorithms. …

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 …

This work, focuses on automatic weapon detection in CCTV footage by making use of deep learning algorithms. In our work we are going to use YOLOv8 model to detect weapons as it is …

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

By leveraging the YOLOv4 model’s ability to detect objects in real-time with a single pass through the network, our proposed system achieves effi cient and reliable weapon detection in diverse …

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

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

The methodology for weapon detection using deep learning is illustrated in Figure 1. The process begins with extracting frames from the input video. Each frame is then processed using a …

Jul 1, 2020 · This paper implements automatic gun (or) weapon detection using a convolution neural network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation …