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公开(公告)号：US11455490B2
公开(公告)日：2022-09-27
申请号：US16885576
申请日：2020-05-28
Applicant: Wistron Corp.
Inventor： Chih-Wei Cheng , Tsai-Sheng Shen , Kuang-Yu Wang
Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data; balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data includes training-set data and testing-set data; training an artificial-intelligence (AI) model using the training-set data; and inputting the testing-set data into the AI model to obtain a model evaluation of the AI model.
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公开(公告)号：US11423531B2
公开(公告)日：2022-08-23
申请号：US16885594
申请日：2020-05-28
Applicant: Wistron Corp.
Inventor： Chih-Wei Cheng , Tsai-Sheng Shen , Kuang-Yu Wang
Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data, wherein the first structured data includes a first layer and a second layer, and the first layer indicates the groups in different statuses, the second layer is located with directories of the first layer, and the types in each group of the second layer indicate different components in a status corresponding to each group; and balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data is used to train an AI model for image recognition.
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公开(公告)号：US11521015B2
公开(公告)日：2022-12-06
申请号：US16885614
申请日：2020-05-28
Applicant: Wistron Corp.
Inventor： Chih-Wei Cheng , Tsai-Sheng Shen , Kuang-Yu Wang
IPC: G06V10/776 , G06K9/62 , G06T3/40 , G06T7/00 , G06N20/00 , G06V10/98 , G06V10/774
Abstract: An image-recognition method is provided. The method includes the following steps: receiving structured data, wherein the structured data includes training-set data and testing-set data, and the structured data includes a plurality of groups, and each group includes one or more types, and each type includes a plurality of check-point images; training an artificial-intelligence (AI) model using the training-set data; inputting the testing-set data into the AI model to obtain a model evaluation of the AI model; and determining one or more first types with a lower overall recognition rate or a lower confidence level in the structured data, and deletes or corrects the check-point images in the one or more first types to update the structured data.
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