A Study on the Outlet Blockage Determination Technology of Conveyor System using Deep Learning (딥러닝을 이용한 컨베이어 시스템의 배출구 막힘 상태 판단 기술에 관한 연구)

Jeong Eui-han (정의한); Young-Joo Suh (서영주); Dongju Kim (김동주)

doi:10.9708/jksci.2020.25.05.011

A Study on the Outlet Blockage Determination Technology of Conveyor System using Deep Learning

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(5), pp.11~18
DOI : 10.9708/jksci.2020.25.05.011
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : January 6, 2020
Accepted : April 24, 2020
Published : May 29, 2020

Jeong Eui-han ¹, Young-Joo Suh ¹, Dongju Kim ¹

¹포항공과대학교

Accredited

ABSTRACT

This study proposes a technique for the determination of outlet blockage using deep learning in a conveyor system. The proposed method aims to apply the best model to the actual process, where we train various CNN models for the determination of outlet blockage using images collected by CCTV in an industrial scene. We used the well-known CNN model such as VGGNet, ResNet, DenseNet and NASNet, and used 18,000 images collected by CCTV for model training and performance evaluation. As a experiment result with various models, VGGNet showed the best performance with 99.03% accuracy and 29.05ms processing time, and we confirmed that VGGNet is suitable for the determination of outlet blockage.

KEYWORDS

Conveyor Systems, Blockage Determination, Deep Learning, Convolutional Neural Network, Visual Geometry Group Network, Residual Network, Dense Network, Neural Architecture Search Network

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Outlet Blockage Determination Technology of Conveyor System using Deep Learning

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Outlet Blockage Determination Technology of Conveyor System using Deep Learning

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