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:
Apr. 23, 2024

Filed:

Dec. 30, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Dan Zhang, Leonberg, DE;

Robin Tibor Schirrmeister, Freiburg, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06V 10/446 (2022.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A device and a computer implemented method of anomaly detection, including processing a digital representation of a signal or image with a wavelet decomposition to generate a first, second, and third plurality of decomposed representations, processing a first decomposed representation of the third plurality of decomposed representations with a first generative model to determine a first likelihood, processing a second decomposed representation of the third plurality of decomposed representations with a second generative model to determine a second likelihood, processing a second decomposed representation of the second plurality of decomposed representations with a third generative model to determine a third likelihood, processing a second decomposed representation of the first plurality of decomposed representations with a fourth generative model to determine a fourth likelihood, detecting an anomaly when at least one of the first likelihood, the second likelihood, the third likelihood and the fourth likelihood meets a criterium for anomaly detection.


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