Diffusion models enhance automation by improving AI classification and detection capabilities in display manufacturing.
This study presents a diffusion‐based generative AI approach to address dataset imbalances in display manufacturing automation. By generating realistic synthetic data for defects and repair failures, we achieved high‐performance classification AI and detection AI, enabling automation previously reliant on human operators. The proposed method demonstrates the potential of diffusion models to expand automation in manufacturing processes utilizing computer vision.
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Kim et al. (2025) studied this question.
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