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

The most common failures of belt conveyors are runout, coal piles and longitudinal tears. The detection methods for longitudinal tearing are currently not particularly effective. A key study area for minimizing longitudinal belt tears with the advancement of machine learning is how to use machine vi...

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Detalles Bibliográficos
Autores principales: Chen, Yiming, Sun, Xu, Xu, Liang, Ma, Sencai, Li, Jun, Pang, Yusong, Cheng, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504995/
https://www.ncbi.nlm.nih.gov/pubmed/36146200
http://dx.doi.org/10.3390/s22186851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504995/
https://www.ncbi.nlm.nih.gov/pubmed/36146200
http://dx.doi.org/10.3390/s22186851

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