The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 06, 2026

Filed:

Sep. 28, 2023
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Chen Qiu, Pittsburgh, PA (US);

Clement Fung, Pittsburgh, PA (US);

Maja Rudolph, Madison, WI (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01);
Abstract

A computer-implemented system and method relate to anomaly detection. A first source image is obtained from a first image set and a second source image is obtained from a second image set of an in-distribution image dataset. A diffusion model generates a modified image using the first source image and the second source image. A non-anomalous label is automatically generated for the first source image. The non-anomalous label is also generated for the second source image. An anomalous label is generated for the modified image. A training dataset is created. The training dataset includes at least the first source image with the non-anomalous label, the second source image with the non-anomalous label, and the modified image with the anomalous label. A machine learning model is trained or fine-tuned using the training dataset. The machine learning model being configured to perform a task of anomaly detection.


Find Patent Forward Citations

Loading…