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US 2023/0419636 A1Published application
Identifying anomaly location
AssigneeHewlett-Packard Development Company, L.P.
InventorsQIAN LIN, DEANGELI GOMES NEVES, THARSIS SALATHIEL de SOUZA VIANA, AUGUSTO VALENTE
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Abstract
A region of interest is extracted from a captured image of a physical object. An autoencoder model is applied to the extracted region of interest to reconstruct the region of interest. A location of an anomaly of the physical object within the extracted region of interest, if any, is identified based on the extracted and reconstructed regions of interest.
Claims15
A non-transitory computer-readable data storage medium storing program code executable by a processor to perform processing comprising:
- extracting a region of interest from a captured image of a physical object;
- applying an autoencoder model to the extracted region of interest to reconstruct the region of interest;
- and
- identifying a location of an anomaly of the physical object within the extracted region of interest, if any, based on the extracted and reconstructed regions of interest.
1 more element
A method comprising:
- training an autoencoder model using a plurality of training images of anomaly-free physical objects of a same type;
- and
- using the autoencoder model to identify a location of an anomaly of a physical object of the same type as the anomaly-free physical objects within an extracted region of interest of a captured image of the physical object.
A computing device comprising:
- a processor;
- and
- a memory storing instructions executable by the processor to:
- preprocess an image of a physical object to crop the image;
- apply an autoencoder model to the preprocessed image to generate a reconstructed image;
- and
- identify a location of an anomaly of the physical object within the image, if any, based on a residual map between the preprocessed image and the reconstructed image.
4 more elements
Dependencies are inferred from the claim text.