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US 12,749,279 B2Granted
Identifying anomaly location
AssigneeHewlett-Packard Development Company, L.P.
InventorsQian Lin, Deangeli Gomes Neves, Tharsis Salathiel de Souza Viana, Augusto Valente
Life of this patent
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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.
Claims20
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, wherein the region of interest is a prespecified area within the captured image that is to be input to an autoencoder model;
- applying the 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, wherein identifying the location of the anomaly of the physical object within the extracted region of interest, if any, comprises generating a residual map between the extracted region of interest and the reconstructed region 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, wherein the region of interest is a prespecified area within the captured image that is to be input to the autoencoder model, wherein using the autoencoder model to identify the location of the anomaly of the physical object within the extracted region of interest comprises generating a residual map between the extracted region of interest and a reconstructed region of interest generated by the autoencoder model based on the captured image.
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 to extract a region of interest, wherein the region of interest is a prespecified area within the captured image that is to be input to an autoencoder model;
- apply the 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.