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:
Feb. 10, 2026

Filed:

Apr. 30, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Vikram Vasant Tank, Jersey City, NJ (US);

William Sumner Rutledge, Austin, TX (US);

Kai S. Yick, Dale City, CA (US);

Carlos Henrique Esteves Mendonca, New York, NY (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/62 (2022.01); H04N 23/51 (2023.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G06V 10/82 (2022.01); G06V 20/44 (2022.01); G06V 20/625 (2022.01); H04N 23/51 (2023.01); G06T 2207/30196 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/07 (2022.01);
Abstract

In general, the disclosure is directed to lightweight sensors that enable privacy preserving detection of objects or related information present in image data. One aspect of the disclosure includes detection methods that do not require information such as motion or thermal in determining object detection. Rather, implementations can utilize a machine-learned model to determine whether objects of a type are present in an image. To account for possible generation of private data, example implementations can include hardware and/or a computing architecture configured to only maintain or transmit sensor signals generated based at least in part on output of the machine-learned model.


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