Identifying defective casting products using hierarchical defect recognition architecture: A computer vision approach
This paper proposes a novel approach for identifying defective casting products using a custom convolutional neural network architecture named Hierarchical Defect Recognition Architecture (HiDraNet). The HiDraNet model is designed to classify submersible pump impeller casting products into Normal an...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-04-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132251332681 |
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