Application of YOLOv4 Algorithm for Foreign Object Detection on a Belt Conveyor in a Low-Illumination Environment.

Chen, Yiming; Sun, Xu; Xu, Liang; Ma, Sencai; Li, Jun; Pang, Yusong; Cheng, Gang

Chen, Yiming; Sun, Xu; Xu, Liang; Ma, Sencai; Li, Jun; Pang, Yusong; Cheng, Gang.

Afiliação

Chen Y; Shandong Zhongheng Optoelectronic Technology Co., Ltd., Zaozhuang 277000, China.
Sun X; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Xu L; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Ma S; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Li J; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Pang Y; Faculty Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 Delft, The Netherlands.
Cheng G; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel) ; 22(18)2022 Sep 10.

Article em En | MEDLINE | ID: mdl-36146200

Assuntos

Corpos Estranhos; Iluminação; Algoritmos; Carvão Mineral; Humanos; Aumento da Imagem

Palavras-chave

KinD++ algorithm; YOLOv4 algorithm; belt conveyor; low-light enhancement; machine vision

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Iluminação / Corpos Estranhos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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