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