Identifying Capsule Defect Based on an Improved Convolutional Neural Network

Capsules are commonly used as containers for most pharmaceuticals, and capsule quality is closely related to human health. Given the actual demand for capsule production, this study proposes a capsule defect detection and recognition method based on an improved convolutional neural network (CNN) alg...

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Bibliographic Details
Main Authors: Junlin Zhou, Jiao He, Guoli Li, Yongbin Liu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2020/8887723
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