Invention Grant
- Patent Title: Automatic inspection using artificial intelligence models
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Application No.: US17123928Application Date: 2020-12-16
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Publication No.: US12211191B2Publication Date: 2025-01-28
- Inventor: Xiaoqing Ge , Dustin Michael Sharber , Jeffrey Potts , Braden Starcher
- Applicant: Baker Hughes Holdings LLC
- Applicant Address: US TX Houston
- Assignee: Baker Hughes Holdings LLC
- Current Assignee: Baker Hughes Holdings LLC
- Current Assignee Address: US TX Houston
- Agency: Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F18/214 ; G06F18/24 ; G06F18/2431 ; G06N20/00 ; G06T5/50 ; G06T5/70

Abstract:
An inspection method includes receiving a plurality of training images and an image of a target object obtained from inspection of the target object. The method further includes generating, by one or more training codes, a plurality of inference codes. The one or more training codes are configured to receive the plurality of training images as input and output the plurality of inference codes. The one or more training codes and the plurality of inference codes includes computer executable instructions. The method further includes selecting one or more inference codes from the plurality inference codes based on a user input and/or one or more characteristics of at least a portion of the received plurality of training images. The method also includes inspecting the received image using the one or more inference codes of the plurality of inference codes.
Public/Granted literature
- US20220189005A1 AUTOMATIC INSPECTION USING ARTIFICIAL INTELLIGENCE MODELS Public/Granted day:2022-06-16
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