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:
Mar. 11, 2025

Filed:

Sep. 13, 2021
Applicant:

Objectvideo Labs, Llc, Tysons, VA (US);

Inventors:

Sravanthi Bondugula, Vienna, VA (US);

Gang Qian, McLean, VA (US);

Sung Chun Lee, Fairfax, VA (US);

Sima Taheri, McLean, VA (US);

Allison Beach, Leesburg, VA (US);

Assignee:

ObjectVideo Labs, LLC, Tysons, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01); G06V 20/54 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2193 (2023.01); G06F 18/2148 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06V 20/54 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reducing camera false detections. One of the methods includes providing, to a neural network of an image classifier that is trained to detect objects of two or more classification types, a feature vector for a respective training image; receiving, from the neural network, an output vector that indicates, for each of the two or more classification types, a likelihood that the respective training image depicts an object of the corresponding classification type; accessing, from two or more ground truth vectors each for one of the two or more classification types, a ground truth vector for the classification type of an object depicted in the training image; and adjusting one or more weights in the neural network using the output vector and the ground truth vector; and storing, in a memory, the image classifier.


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