Weapon Detection

Weapon detection research focuses on developing automated systems to identify firearms and other weapons in real-time video, primarily to enhance public safety and security. Current efforts leverage deep learning, particularly convolutional neural networks (CNNs) like YOLO and Faster R-CNN, often employing ensemble methods and architectural modifications to improve accuracy and speed. Researchers are also addressing challenges like variations in weapon appearance and orientation by developing specialized CNN architectures and creating benchmark datasets with oriented bounding boxes for improved model training and evaluation. These advancements hold significant potential for applications in surveillance, security screening, and law enforcement.

Papers

October 23, 2024

Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety
Ayush Thakur, Akshat Shrivastav, Rohan Sharma, Triyank Kumar, Kabir Puri
Computer Vision Detection Model Look Once Version 8 Surveillance System Safety Enhancement Weapon Detection

October 13, 2024

Distributed Intelligent Video Surveillance for Early Armed Robbery Detection based on Deep Learning
Sergio Fernandez-Testa, Edwin Salcedo
Deep Learning Data Detection High Detection State of the Art Detector Vision Pipeline Surveillance System Surveillance Camera Weapon Detection

May 23, 2024

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks
Kambhatla Akhila, Khaled R Ahmed
Deep Learning Object Detector R CNN Faster RCNN Weapon Detection

September 28, 2023

Novel Deep Learning Pipeline for Automatic Weapon Detection
Haribharathi Sivakumar, Vijay Arvind. R, Pawan Ragavendhar, G. Balamurugan
Neural Network Deep Learning Convolutional Neural Network Real Time Novel Pipeline Weapon Detection

December 4, 2021

Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset
Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad
Benchmark Dataset CNN Architecture Visual Data Weapon Detection

Weapon Detection

Papers

Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety

Distributed Intelligent Video Surveillance for Early Armed Robbery Detection based on Deep Learning

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks

Novel Deep Learning Pipeline for Automatic Weapon Detection

Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset