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:
Jun. 23, 2026

Filed:

Jan. 25, 2024
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Ravi Shukla, Bengaluru, IN;

Jeffrey Scott Vah, Round Rock, TX (US);

Wilson Tetsuia Kitsunai, Sorocaba, BR;

Aaron Sanchez, Austin, TX (US);

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06F 16/90 (2019.01); G06T 11/60 (2026.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G09G 3/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0008 (2013.01); G06T 7/0004 (2013.01); G06T 11/60 (2013.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G09G 3/006 (2013.01); G06F 16/90 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30121 (2013.01);
Abstract

Methods, apparatus, and processor-readable storage media for detecting device component defects and generating corresponding recommendations using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data of one or more device components and user input pertaining to at least a portion of the device component(s); predicting at least one defect associated with the device component(s) by processing at least a portion of the image data and the user input using a first set of artificial intelligence techniques; determining, using a second set of artificial intelligence techniques, that the at least one predicted defect is repairable; generating recommendation(s) for repairing the defect(s) by processing, using the second set artificial intelligence techniques, the at least a portion of the image data, the at least a portion of the user input, and information pertaining to the defect(s); and performing automated actions based on the recommendation(s).


Find Patent Forward Citations

Loading…