Deep Learning for Detecting Manufacturing Defects Using Convolutional Neural Networks

Author:

Bakshi Kanishk,Chaudhary Dhruv

Publisher

Springer Nature Singapore

Reference15 articles.

1. Berger, C., Tschentscher, M., et al.: Deep learning for image-based surface inspection in the automotive industry. IEEE Trans. Ind. Inform. (2018)

2. Lal, S., Monga, H., et al.: Defect detection in X-ray images of welded pipes using convolutional neural networks. J. Nondestruct. Evaluat. (2019)

3. Lee, S.-H., Lee, T.-H., et al.: Deep learning-based crack detection using convolutional neural network. Electronics (2019)

4. Hu, W., Wang, Y., et al.: Deep learning for real-time automatic surface inspection: a review. IEEE Access (2018)

5. Sharma, A., et al.: Machine learning applications for precision agriculture: a comprehensive review. IEEE Access 9, 4843–4873 (2020)

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