Fresnel lens defect classification using deep learning technique
Plastic injection molded Fresnel lens is one of the important components for illumination in smart devices. To perform inspection on this type of optical component is challenging for machine vision due to the presence of groove pattern and texture. This paper discusses the limitation of classical im...
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| Main Authors: | , , |
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| Format: | Book Section |
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Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/100489/ http://dx.doi.org/10.1007/978-981-16-8515-6_42 |
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| Summary: | Plastic injection molded Fresnel lens is one of the important components for illumination in smart devices. To perform inspection on this type of optical component is challenging for machine vision due to the presence of groove pattern and texture. This paper discusses the limitation of classical image analysis for defect inspection and proposes a Deep Convolutional Neural Network (CNN) with Transfer Learning for defect classification. This paper also presents a Hybrid CycleGAN and geometric augmentation to expand image dataset for model training. |
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