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August 07, 2022 conference-paper Aachen paper

Automatic Labeling in Image Segmentation and Classification for TFT-LCD Manufacturing

IEEE International Conference on Mechatronics and Automation (ICMA), vol. 2, pp. 506–513

DOI: 10.1109/icma54519.2022.9856233 OpenAlex

Abstract

Product quality inspection of Thin-film transistor-liquid crystal display (TFT-LCD) is time-consuming and labor-intensive. An automatic algorithm-based defect inspection system solves these problems by reducing the time and manual labor involved. This research work proposes an AI-based LCD inspection vision system that evaluates defects by AI-based defect segmentation and classification. Time-consuming pixel-level labeling of defects can be eliminated by applying weakly-supervised learning methods. The efforts of quality control personnel for model training can be reduced which is especially important in high-mix production with a high amount of changeovers and production process adjustments. Therefore, PP-CAM (Precise-Puzzle-CAM) based defect segmentation method is proposed to cope with diverse TFT-LCD defect shapes and sizes. Secondly, a region of interest-supported classification method is developed to enable cropping of small-scale TFT-LCD. The performance of the AI methods are investigated using industrial TFT-LCD manufacturing datasets of two manufacturing processes.

Authors 10

  1. Chang Liu
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  2. Sebastian Vaassen Aachen Center Connected Industry

    RWTH Aachen University

    Affiliation as printed

    Center Connected Industry at RWTH Aachen Campus, Campus-Boulevard 55,Aachen,Germany,52074

  3. Lakshmi Manoj
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  4. Xiao Qing Zhan
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  5. Xu Chen
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  6. Someshwar Rudra Ajay
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  7. Zi Yan Lu
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  8. Max Wittstamm
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

  9. Chao Zhang
    Affiliation as printed

    TCL Corporate Research (Hong Kong) Co., Limited 5/F, Building 22E, 22 Science Park East Avenue, Hong Kong Science Park,Shatin,Hong Kong

    TCL Corporate Research (Hong Kong) Co., Limited 5/F, Building 22E, 22 Science Park East Avenue, Hong Kong Science Park, Shatin, Hong Kong

  10. Benny Drescher
    Affiliation as printed

    Hong Kong Industrial Artificial Intelligence & Robotics Centre, Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park,Shatin,NT,Hong Kong

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References 53