Invention Grant
- Patent Title: Artificial neural network-based method for detecting surface pattern of object
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Application No.: US16848456Application Date: 2020-04-14
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Publication No.: US11216686B2Publication Date: 2022-01-04
- Inventor: Kun-Yu Tsai
- Applicant: GETAC TECHNOLOGY CORPORATION
- Applicant Address: TW Hsinchu County
- Assignee: GETAC TECHNOLOGY CORPORATION
- Current Assignee: GETAC TECHNOLOGY CORPORATION
- Current Assignee Address: TW Hsinchu County
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06T7/586 ; G06T7/00 ; G06K9/20 ; G06K9/32 ; G06K9/62 ; G06N3/08 ; G01N21/3581 ; G01N21/88 ; G06T7/40 ; G06N3/04 ; G06T7/11 ; G01J3/28 ; G01N21/956 ; G06T7/45 ; G06F17/16 ; G06N3/063 ; G01N21/01 ; G01N21/952

Abstract:
An artificial neural network-based method for detecting a surface pattern of an object includes receiving a plurality of object images, dividing each object image into a plurality of image areas, designating at least one region of interest from the plurality of image areas of each of the object images, and performing deep learning with the at least one region of interest to build a predictive model for identifying a surface pattern of the object.
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