Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning

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Weapon Detection Using YOLO V3 for Smart Surveillance System

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A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

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Weapons Detection for Security and Video Surveillance Using CNN and YOLO-V5s

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Real-Time Abnormal Object Detection for Video Surveillance in Smart Cities

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Detection and Classification of Different Weapon Types Using Deep Learning

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Deep Learning for Automatic Violence Detection: Tests on the AIRTLab Dataset

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A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods

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Human pose estimation for mitigating false negatives in weapon detection in video-surveillance

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Handgun Detection Using Combined Human Pose and Weapon Appearance

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Fighting against terrorism: A real-time CCTV autonomous weapons detection based on improved YOLO v4

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Systematic review on weapon detection in surveillance footage through deep learning

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MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification

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IoT Based Weapons Detection System for Surveillance and Security Using YOLOV4

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A neural network aided attuned scheme for gun detection in video surveillance images

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Video surveillance in smart cities: current status, challenges & future directions

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Robust weapon detection in dark environments using Yolov7-DarkVision

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Automatic Handgun and Knife Detection Algorithms: A Review

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A comprehensive survey on computer vision based concepts, methodologies, analysis and applications for automatic gun/knife detection

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YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)

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Weapon detection system for surveillance and security

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Automatic Gun Detection Approach for Video Surveillance

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Weapon Classification using Deep Convolutional Neural Network

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Concealed pistol detection from thermal images with deep neural networks

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Adaptive Technique for Brightness Enhancement of Automated Knife Detection in Surveillance Video with Deep Learning

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Intelligent Video Surveillance Based on YOLO: A Comparative Study

Garg, R., & Singh, S. (2021) · International Conference on Advances in Computing, Communication and Control (ICAC3) · doi:10.1109/icac353642.2021.9697321 · Cited by 21

Weapon Detection from Surveillance Images using Deep Learning

Goenka, A., & Sitara, K. (2022) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet54531.2022.9824281 · Cited by 20

Violence Detection Using Computer Vision Approaches

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Low-Light Image and Video Enhancement for More Robust Computer Vision Tasks: A Review

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Automatic tracking of objects using improvised Yolov3 algorithm and alarm human activities in case of anomalies

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DTwin-TEC: An AI-based TEC district digital twin and emulating security events by leveraging knowledge graph

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A new method for CF morphology distribution evaluation and CFRC property prediction using cascade deep learning

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WeaponVision AI: a software for strengthening surveillance through deep learning in real-time automated weapon detection

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R-CNN and YOLOV4 based Deep Learning Model for intelligent detection of weaponries in real time video

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An Enhanced Weapon Detection System using Deep Learning

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Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images

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Deep Learning-Based Real-Time Weapon Detection System

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Improved Ada Boost Classifier for Sports Scene Detection in Videos: from Data Extraction to Image Understanding

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Weapons Detection System Based on Edge Computing and Computer Vision

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Effective Strategies for Enhancing Real-Time Weapons Detection in Industry

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Towards Proactive Surveillance through CCTV Cameras under Edge-Computing and Deep Learning

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Improved bounding box regression loss for weapon detection systems using deep learning

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A Deep Learning Approach to Gun Detection in Surveillance System using YOLOv9

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Pseudo Trained YOLO R_CNN Model for Weapon Detection with a Real-Time Kaggle Dataset

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Detection of weapons using Efficient Net and Yolo v3

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Distributed Fog computing system for weapon detection and face recognition

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A Review of Visible and Concealed Weapon Detection Techniques Using Machine Learning and Deep Learning

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Weapon Detection using Yolov4, CNN

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Normalized Attention Neural Network with Adaptive Feature Recalibration for Detecting the Unusual Activities Using Video Surveillance Camera

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Weapon Detection in Surveillance Videos Using Deep Neural Networks

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Weapon Detection from Surveillance Footage in Real-Time Using Deep Learning

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Automatic Weapon and Knife Detection System on Security Cameras: Comparative YOLO Models

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DeepCens : A deep learning‐based system for real‐time image and video censorship

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Weapon Detection Identification and Classification for DCNN and YOLO-V5 Techniques

Kumar, J. A., Dhivya, G., Selvaraj, P., Karthikeyan, V. G., Ramesh, S. P., Lakshmi, S. J., & Saravanakumar, R. (2024) · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) · doi:10.1109/icicnis64247.2024.10823365 · Cited by 6

Performance Analysis of Machine Learning Classification Algorithms in Static Object Detection for Video Surveillance Applications

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On the influence of artificially distorted images in firearm detection performance using deep learning

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Preprocessing Method Comparisons For VGG16 Fast-RCNN Pistol Detection

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A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes

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The Security of IP-Based Video Surveillance Systems

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Automatic Detection of Knives in Complex Scenes

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Detecting Subject-Weapon Visual Relationships

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Effectiveness of Modern Models Belonging to the YOLO and Vision Transformer Architectures in Dangerous Items Detection

Omiotek, Z. (2025) · Electronics · doi:10.3390/electronics14173540 · Cited by 4

SIRD-YOLO: an enhanced deep learning model for weapon detection using spatial interactions and diverse receptive fields

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Real-time human detection for electricity conservation using pruned-SSD and arduino

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Weapon Detection Using Swin Transformer

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Weapon Detection Using Deep Learning

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Data Processing Unit for Energy Saving in Computer Vision: Weapon Detection Use Case

Perea-Trigo, M., López-Ortiz, E. J., González, J. L. S., Álvarez-García, J. A., & Olmos, J. J. V. (2022) · Electronics · doi:10.3390/electronics12010146 · Cited by 4

Weapon Detection in Surveillance Videos Using Human Inspired Particle Swarm Optimization Algorithm and Support Vector Machine

(2022) · International journal of intelligent engineering and systems · doi:10.22266/ijies2022.0831.11 · Cited by 4

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillancePreprint

Olmos, R., Tabik, S., Pérez-Hernández, F., Lamas, A., & Herrera, F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.11653 · Cited by 4

YOLOv10: Toward a Promising Improvement of Gun Detection Based on a Proposed Image Enhancement Technique

Aloraibi, A. Q., Hasoon, A. N., & Yassen, M. S. (2025) · International Conference on Business Analytics for Technology and Security (ICBATS) · doi:10.1109/icbats66542.2025.11258182 · Cited by 3

A novel model for higher performance object detection with deep channel attention super resolution

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Enhancing Real-Time Detection Transformer (RT-DETR) for Handgun Detection on Nvidia Jetson

Bustamante, L., & Gutiérrez, J. C. (2025) · CLEI electronic journal · doi:10.19153/cleiej.28.3.5 · Cited by 3

Street-crimes modelled arms recognition technique employing deep learning and quantum deep learning (SMARTED)

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Gun Detection System for Surveillance Cameras Using HOG-Assisted KNN Classifier

Sumi, L., & Dey, S. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-3481-2_18 · Cited by 3

Analyzing the impact of police mugshots in face verification for crime investigations

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Exploiting Deep Learning Algorithm to Understand Buildings’ Façade Characteristics

Rampini, L., Khodabakhshian, A., & Cecconi, F. R. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-82199-9_25 · Cited by 3

An Intelligent and Efficient Approach for a Weapon Detection System Using Computer Vision and Edge Computing

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An efficient hybrid CNN–transformer framework for real-time weapon detection and face recognition

Shanthi, P., & Manjula, V. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1841848 · Cited by 2

Deep Classification of Gun Carried by Moving Persons Using Proposed TUVD-CSA Dataset

Debnath, R., & Bhowmik, M. K. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-4287-6_8 · Cited by 2

An Efficient approach for Firearms Detection using Machine Learning

Rahoo, A., Alvi, F. A., Rajput, U., & Halepoto, I. A. (2023) · VFAST Transactions on Software Engineering · doi:10.21015/vtse.v11i2.1467 · Cited by 2

Real-Time Handgun Detection Using Transformers on Nvidia Jetson AGX Xavier

Bustamante, L. A., & Gutiérrez, J. C. (2024) · Latin American Computer Conference (CLEI) · doi:10.1109/clei64178.2024.10700426 · Cited by 2

A State-of-the-Art Review of Deep Learning-Based Object Detection Methods and Techniques

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Deteksi Senjata Genggam Menggunakan Faster R-CNN Inception V2

Pradana, I. C., Mulyanto, E., & Rachmadi, R. F. (2022) · Jurnal Teknik ITS · doi:10.12962/j23373539.v11i2.86587 · Cited by 2

Systematic Harmful Signs Detection for Women’S Safety Using Neural Networks

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Theft Detection using Deep LearningPreprint

Shirole, S. (2023) · Research Square · doi:10.21203/rs.3.rs-3540282/v1 · Cited by 2

A Deep Learning Framwork with Attention-Guided Feature Learning for Robust Object Detection in Surveillance Systems

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An Approach for Recognizing Object Using Convolutional Neural Networks for Detection of Weapons

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Theft detection with computer vision technique using Yolo-V7 algorithm

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A systematic review of multisensor methods for open-carry and concealed knife detection

Okafor, O., Adama, D. A., & Vinkemeier, D. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-026-11626-2 · Cited by 1

An Expert System for Weapon Identification and Categorization Using Machine Learning Technique to Retrieve Appropriate Response

Aftab, R. M. (2021) · Lahore Garrison University Research Journal of Computer Science and Information Technology · doi:10.54692/lgurjcsit.2021.0504248 · Cited by 1

Analysis of Video Forensics System for Detection of Gun, Mask and Anomaly Using Soft Computing Techniques

Nanda, S. K., Ghai, D., & Ingole, P. V. (2022) · Journal of Cyber Security and Mobility · doi:10.13052/jcsm2245-1439.1143 · Cited by 1

A Preventive Approach to Weapons Detection for Children Using Quantum Deep Learning

Shah, S. A. A. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-21199-7_10 · Cited by 1

Weapon Classification with Xception: An Efficient Deep Learning Approach

Yeshwanth, A., & Bhuvaneswari, R. (2024) · International Conference on Integrated Circuits and Communication Systems (ICICACS) · doi:10.1109/icicacs60521.2024.10498457 · Cited by 1

Zero-shot neuro-symbolic parsing of body keypoints

Aljawaheri, D., Burghouts, G. J., van Woerden, J. E., Dijk, J., & Kuijf, H. J. (2024) · Electro-Optical and Infrared Systems: Technology and Applications · doi:10.1117/12.3031487 · Cited by 1

Advanced Dual Module Weapon Detection for Public Safety and Surveillance System

Sirigineedi, M., Sowmiya, M., Hemavathi, U., Bharathi, V. C., Karmode, S., & Sathya, R. (2024) · International Conference on Sustainable Expert Systems (ICSES) · doi:10.1109/icses63445.2024.10763055 · Cited by 1

Feature selection algorithm assisted residual channel attention spatio-temporal auto encoder for video anomaly detection

Prasudha, M. L., Sukhavasi, V., Neha, K., & Lunawat, P. S. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03640-0 · Cited by 1

Final Thoughts: From Big Data to Smart Data

Luengo, J., García‐Gil, D., Ramírez‐Gallego, S., García, S., & Herrera, F. (2020) · Springer eBooks · doi:10.1007/978-3-030-39105-8_10 · Cited by 1

Adaptive Technique for Brightness Enhancement of Automated Knife Detection in Surveillance Video with Deep Learning

Galab, M. K., Taha, A., & Zayed, H. H. (2021) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-021-05401-4 · Cited by 22

An efficient weapon detection system using NSGCU-DCNN classifier in surveillance

Rao, A. S. V., Kainth, S., Bhattacharya, A., & Amgoth, T. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124800 · Cited by 5

An Efficient Weapon Detection System Using Nsgcu-Dcnn Classifer in SurveillancePreprint

Rao, A. S. V., Kainth, S., & Bhattacharya, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4496801

An Approach for Recognizing Object Using Convolutional Neural Networks for Detection of Weapons

Kumari, N., Vallamsetla, S., Ravva, R., & Nandini, S. S. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-72747-4_28 · Cited by 1

Systematic review on weapon detection in surveillance footage through deep learning

Santos, T., Oliveira, H. P., & Cunha, A. M. T. D. S. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100612 · Cited by 60