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. 22, 2022

Filed:

Feb. 20, 2019
Applicant:

Nortek Security & Control Llc, Carlsbad, CA (US);

Inventors:

Krishna Khadloya, San Jose, CA (US);

Chandan Gope, Cupertino, CA (US);

Assignee:

Nortek Security & Control LLC, Carlsbad, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 1/16 (2006.01); G06K 9/62 (2022.01); G06T 7/20 (2017.01); G06T 7/00 (2017.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G08G 1/166 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06T 7/20 (2013.01); G06T 7/97 (2017.01); G06V 20/58 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Driver and pedestrian safety can be aided by systems and methods to provide identification and classification of objects in a vehicle travel path. Information about classified objects can be shared with a human driver to inform the driver about potentially hazardous conditions, or the information can be interpreted automatically by an operating system of the vehicle. In an example, a camera coupled to a vehicle can receive images from an image sensor. A computer system can use machine learning and neural network-based processing to identify an object present in the images and determine whether the object is a pedestrian. In an example, the computer system can process information from a region of interest in the images that comprises less than an entire field of view in the images.


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