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GBSG-YOLOv8n: A Model for Enhanced Personal Protective Equipment Detection in Industrial Environments

https://doi.org/10.3390/electronics12224628

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Detecting Apples in Orchards Using YOLOv3 and YOLOv5 in General and Close-Up Images

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SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/s40747-023-01028-0openalex-snapshot

A high-performance framework for personal protective equipment detection on the offshore drilling platform

inferredcites →https://doi.org/10.1016/j.autcon.2013.08.009openalex-snapshot

Mobile passive Radio Frequency Identification (RFID) portal for automated and rapid control of Personal Protective Equipment (PPE) on construction sites

inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107458openalex-snapshot

Method based on the cross-layer attention mechanism and multiscale perception for safety helmet-wearing detection

inferredcites →https://doi.org/10.1016/j.compind.2018.03.037openalex-snapshot

An intelligent vision-based approach for helmet identification for work safety

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A holistic approach to health and safety monitoring: Framework and technology perspective

inferredcites →https://doi.org/10.1016/j.jiph.2020.02.032openalex-snapshot

Use of personal protective equipment to protect against respiratory infections in Pakistan: A systematic review

inferredcites →https://doi.org/10.1016/j.ssci.2017.10.011openalex-snapshot

Building information modeling in combination with real time location systems and sensors for safety performance enhancement

inferredcites →https://doi.org/10.1037/h0061694openalex-snapshot

Accident proneness of factory departments.

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1061/(asce)0733-947x(2004)130:6(725)openalex-snapshot

Effectiveness of Safety Vests in Nighttime Highway Construction

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot

Path Aggregation Network for Instance Segmentation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00165openalex-snapshot

GhostNet: More Features From Cheap Operations

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00721openalex-snapshot

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

inferredcites →https://doi.org/10.1109/cvprw59228.2023.00585openalex-snapshot

Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking

inferredcites →https://doi.org/10.1109/icaci.2017.7974509openalex-snapshot

Safety helmet wearing detection based on image processing and machine learning

inferredcites →https://doi.org/10.1109/iccv.2019.00059openalex-snapshot

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving

inferredcites →https://doi.org/10.1109/iccvw54120.2021.00312openalex-snapshot

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

inferredcites →https://doi.org/10.1109/icpr48806.2021.9412103openalex-snapshot

Construction worker hardhat-wearing detection based on an improved BiFPN

inferredcites →https://doi.org/10.1109/ispds56360.2022.9874196openalex-snapshot

YOLOv5-GE Vehicle Detection Algorithm Integrating Global Attention Mechanism

inferredcites →https://doi.org/10.1111/j.1442-9071.1994.tb01695.xopenalex-snapshot

Safety goggles should be worn by Australian workers

inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot

Machine learning: Trends, perspectives, and prospects

inferredcites →https://doi.org/10.1680/icsic.64669.327openalex-snapshot

A Framework of on-site Construction Safety Management Using Computer Vision and Real-Time Location System

inferredcites →https://doi.org/10.3390/app12199697openalex-snapshot

MCA-YOLOV5-Light: A Faster, Stronger and Lighter Algorithm for Helmet-Wearing Detection

inferredcites →https://doi.org/10.3390/electronics10070837openalex-snapshot

Real-Time Face Mask Detection Method Based on YOLOv3

inferredcites →https://doi.org/10.3390/electronics12092094openalex-snapshot

DAAM-YOLOV5: A Helmet Detection Algorithm Combined with Dynamic Anchor Box and Attention Mechanism

inferredcites →https://doi.org/10.3390/electronics12132902openalex-snapshot

FEFD-YOLOV5: A Helmet Detection Algorithm Combined with Feature Enhancement and Feature Denoising

inferredcites →https://doi.org/10.3390/electronics12143128openalex-snapshot

A Mask-Wearing Detection Model in Complex Scenarios Based on YOLOv7-CPCSDSA

inferredcites →https://doi.org/10.3390/jmse11030677openalex-snapshot

Underwater Target Detection Based on Improved YOLOv7

inferredcites →https://doi.org/10.3390/s21103478openalex-snapshot

Fast Personal Protective Equipment Detection for Real Construction Sites Using Deep Learning Approaches

inferredcites →https://doi.org/10.3390/s22228820openalex-snapshot

Development of YOLOv5-Based Real-Time Smart Monitoring System for Increasing Lab Safety Awareness in Educational Institutions

inferredcites →https://doi.org/10.3846/16484142.2016.1233512openalex-snapshot

An RFID model for improving workers’ safety at the seaport in transitional environment

inferredcites →https://doi.org/10.4046/trd.2019.0025openalex-snapshot

Particulate-Matter Related Respiratory Diseases

inferredcites →https://doi.org/10.4236/ojmsi.2021.92009openalex-snapshot

Worker’s Helmet Recognition and Identity Recognition Based on Deep Learning

inferredcites →https://doi.org/10.7717/peerj-cs.311openalex-snapshot

A deep learning-based ensemble method for helmet-wearing detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-20752-4_4openalex-snapshot

Proposal of a Computational Vision Model for the Detection of Personal Protective Equipment to Minimize Occupational Risks

inferred← citeshttps://doi.org/10.1016/j.trpro.2026.03.012openalex-snapshot

ZELF: A Zero-shot Ensemble Learning Framework for PPE detection in Industrial Workplaces

inferred← citeshttps://doi.org/10.1021/acsaenm.5c00751openalex-snapshot

Multifunctional Protective Materials for Personal Safety: Performance Evaluation and Emerging Applications

inferred← citeshttps://doi.org/10.1063/5.0261379openalex-snapshot

Personal protective equipment detection model with alert system

inferred← citeshttps://doi.org/10.1080/10589759.2024.2421941openalex-snapshot

Data enhanced YOLOv8s algorithm for X-ray weld defect detection

inferred← citeshttps://doi.org/10.1088/2631-8695/addcb3openalex-snapshot

Personal protective equipment detection for industrial environments: a lightweight model based on RTDETR for small targets

inferred← citeshttps://doi.org/10.1109/aimlsystems67835.2025.11330603openalex-snapshot

BizEye: Broad-Spectrum Intelligent Zone Eye for Abnormality Detection

inferred← citeshttps://doi.org/10.1109/eiecc64539.2024.10929506openalex-snapshot

The improvement of YOLOv8 for detecting railway workers’ safety helmets and safety vests based on GhostConv

inferred← citeshttps://doi.org/10.1109/epdmc67535.2026.11496612openalex-snapshot

Eagle Eye AI: Intelligent System for Suspicious Activity Detection

inferred← citeshttps://doi.org/10.1109/iatmsi64286.2025.10985311openalex-snapshot

Smart Personal Protective Equipment (PPE) Systems: Integrating Deep Learning to Improve Workplace Safety

inferred← citeshttps://doi.org/10.1109/icatei67676.2025.11405022openalex-snapshot

Enhanced Detection PPE Employment using YOLO

inferred← citeshttps://doi.org/10.1109/icsseecc69062.2026.11722280openalex-snapshot

Real-Time RFID-Based PPE Compliance Monitoring and Access Control System for Underground Coal Mine Workers

inferred← citeshttps://doi.org/10.1109/isci62787.2024.10667854openalex-snapshot

Implementation of a convolutional network for detection of PPE in automotive repair services

inferred← citeshttps://doi.org/10.1109/isriti68345.2025.11393303openalex-snapshot

Implementation of YOLOv8 and ResNet-50 for PPE Usage Detection in Work Environment

inferred← citeshttps://doi.org/10.1109/wccst67302.2026.11495697openalex-snapshot

AI-Powered Safety Management System for Worker Protection

inferred← citeshttps://doi.org/10.12737/2073-0462-2024-90-104openalex-snapshot

AUTOMATIC DETECTION AND IDENTIFICATION OF WHEAT DISEASES USING DEEP LEARNING AND REAL-TIME DRONES

inferred← citeshttps://doi.org/10.1371/journal.pone.0321713openalex-snapshot

Advancing construction safety: YOLOv8-CGS helmet detection model

inferred← citeshttps://doi.org/10.32523/bulmathenu.2025/2.2openalex-snapshot

Көпдеңгейлі белгілерді біріктіру және кеңістіктік назар модуліне негізделген терең оқыту модельдері арқылы жеке қорғаныс құралдарын анықтау

inferred← citeshttps://doi.org/10.32604/cmc.2025.061519openalex-snapshot

An Improved Lightweight Safety Helmet Detection Algorithm for YOLOv8

inferred← citeshttps://doi.org/10.32604/cmc.2025.067547openalex-snapshot

Deep Learning-Based Automated Inspection of Generic Personal Protective Equipment

inferred← citeshttps://doi.org/10.3390/app14114766openalex-snapshot

MEAG-YOLO: A Novel Approach for the Accurate Detection of Personal Protective Equipment in Substations

inferred← citeshttps://doi.org/10.3390/electronics14020267openalex-snapshot

Enhancing YOLOv8n with Multiple Attention and MRV Module for Efficient Deep-Sea Pipeline Target Detection

inferred← citeshttps://doi.org/10.3390/sym16111449openalex-snapshot

Improving Safety in High-Altitude Work: Semantic Segmentation of Safety Harnesses with CEMFormer

inferred← citeshttps://doi.org/10.7717/peerj-cs.3891openalex-snapshot

Modeling the impact of dataset size and class imbalance on YOLOv10-based PPE detection systems

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