An Automatic Detection Approach for Wearing Safety Helmets on Construction Site based on YOLOv5-Reference-Cited by-同舟云学术

An Automatic Detection Approach for Wearing Safety Helmets on Construction Site based on YOLOv5

Published:2022-08-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
language:
Short-container-title:

Author:

Ge Pengqiang¹,Chen Yiyang¹

Affiliation:

1. School of Mechanical and Electrical Engineering, Soochow University,Suzhou,P. R. China,215137

Publisher

IEEE

Link

Reference20 articles.

1. SSD: Single shot MultiBox detector;liu;Computer Vision - ECCV 2016,2016

2. YOL09000: Better, faster, stronger;redmon;2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) IEEE,0

3. Yolov: An incremental improvement;redmon;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

5. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy;Computer Vision and Pattern Recognition,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Enhancing Rider Safety - A Computer Vision based Approach for Helmet Detection;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13

3. A Detection Approach for Wafer Detect in Industrial Manufacturing based on YOLOv8;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22