A Safety System for Industrial Fields using YOLO Object Detection with Deep Learning-Reference-Cited by-同舟云学术

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A Safety System for Industrial Fields using YOLO Object Detection with Deep Learning

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

Rhee JeongYoon¹,Park JunHyuk¹,Lee JaeIn¹,Ahn HyunTae¹,Pham Long Hoang²,Jeon JaeWook²

Affiliation:

1. Sungkynkwan University,Department of Electronic and Electrical Engineering

2. Sungkynkwan University,Department of Electrical and Computer Engineering

Funder

Korea Institute for Advancement of Technology (KIAT)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211092/10212431/10210722.pdf?arnumber=10210722

Reference19 articles.

1. Learning to fuse: A deep fusion network for multi-modal classification;luo;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

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

3. The Pascal Visual Object Classes (VOC) Challenge

4. Evaluation metrics for pattern recognition techniques;martin;Journal of Information Technology and Applications,2013

5. A vision-based system for automated weed control in maize fields;castellanos;Computers and Electronics in Agriculture,2017

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