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...

Full description

Bibliographic Details
Main Authors: Loo, Kean Li, Saw, Chong Keat, Ibrahim, M. H.
Format: Book Section
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Description
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.