Real-time detection of particleboard surface defects based on improved YOLOV5 target detection

Abstract Particleboard surface defect detection technology is of great significance to the automation of particleboard detection, but the current detection technology has disadvantages such as low accuracy and poor real-time performance. Therefore, this paper proposes an improved lightweight detecti...

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Autores principales: Ziyu Zhao, Xiaoxia Yang, Yucheng Zhou, Qinqian Sun, Zhedong Ge, Dongfang Liu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/cf87e4ec41e5488290b872ab9dbd4394
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