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Using Object Detection Technology to Measure the Accuracy of the TFT-LCD Printing Process by Using Deep Learning

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Advances in Internet, Data and Web Technologies (EIDWT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 65))

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Abstract

Currently, manufacturing industries have begun to employ Artificial Intelligence (AI) technology to enhance production efficiency, and reduce management costs and other problems encountered in their manufacturing processes, e.g., TFT-LCD manufacturing companies are typical examples. During their manufacturing processes, if a dedicated measurement machine is used, it takes time, also lengthening the production time and increasing the production cost. This study would like to measure the printing accuracy of the PI (Polyimide film) process in the cell segment process of a TFT-LCD panel manufacturing factory in central Taiwan by proposing a object detection architecture called Object Detection Measurement (ODM) system which measures PI Coater accuracy by using a deep learning object detection technology. In the ODM, an AOI (automatic optical inspection) machine is utilized to take photos for PI Coater. After that, Yolo v3, an object Identify algorithm, is used to evaluate accuracy of the PI Coater. When PI Coater’s printing accuracy is abnormal it notifies users to check the parameters of the proposed system. It also builds SPC (statistical process control) control graph for PI Coater accuracy. With the SPC, process engineers can query and monitor whether the accuracy has trended to abnormal.

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Author information

Authors and Affiliations

  1. Computer Science Department, Tunghai University, Taichung City, Taiwan

    Ting-Wei Yeh & Fang-Yie Leu

Authors
  1. Ting-Wei Yeh
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  2. Fang-Yie Leu
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Corresponding author

Correspondence to Ting-Wei Yeh .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Yeh, TW., Leu, FY. (2021). Using Object Detection Technology to Measure the Accuracy of the TFT-LCD Printing Process by Using Deep Learning. In: Barolli, L., Natwichai, J., Enokido, T. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-70639-5_33

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