Invention Grant
- Patent Title: Image identification and retrieval for component fault analysis
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Application No.: US16774752Application Date: 2020-01-28
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Publication No.: US11354796B2Publication Date: 2022-06-07
- Inventor: Davide Tricarico , Alessandra Neri , Giovanni Tomasino , Dario Pietro Cavallo , Daniele Gionta
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Agency: Quinn IP Law
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/00 ; G06F16/51 ; G06N3/08 ; G06F16/538

Abstract:
A method of identifying and retrieving component digital images for component fault analysis includes generating a known-fault database of digital images of known faults of a previously analyzed component and corresponding remedial actions. The method also includes accessing the known-fault database with a digital image of a current fault of a new component. The method additionally includes comparing the digital image of the current fault with the digital images in the known-fault database based on a computed target characteristic. The method also includes sorting the digital images in the known-fault database in order based on a magnitude of the computed target characteristic for each respective digital image in the known-fault database relative to the digital image of the current fault. The method further includes outputting the sorted digital images to facilitate correlation of the current fault to a particular known fault and identifying the corresponding remedial action.
Public/Granted literature
- US20210233221A1 IMAGE IDENTIFICATION AND RETRIEVAL FOR COMPONENT FAULT ANALYSIS Public/Granted day:2021-07-29
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