Invention Grant
- Patent Title: Artificial neural network-based method for selecting surface type of object
-
Application No.: US16848576Application Date: 2020-04-14
-
Publication No.: US11650164B2Publication Date: 2023-05-16
- Inventor: Kun-Yu Tsai , Po-Yu Yang
- 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: G06T7/00
- IPC: G06T7/00 ; G06T7/40 ; G06V20/64 ; G01N21/88 ; G06T7/586 ; G06N3/08 ; G01N21/3581 ; G06N3/04 ; G06T7/11 ; G01J3/28 ; G01N21/956 ; G06T7/45 ; G06F17/16 ; G06N3/063 ; G01N21/01 ; G01N21/952 ; G06V10/22 ; G06F18/214 ; G06N3/047 ; G06V10/145

Abstract:
An artificial neural network-based method for selecting a surface type of an object includes receiving at least one object image, performing surface type identification on each of the at least one object image by using a first predictive model to categorize the object image to one of a first normal group and a first abnormal group, and performing surface type identification on each output image in the first normal group by using a second predictive model to categorize the output image to one of a second normal group and a second abnormal group.
Information query