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:
Aug. 22, 2023

Filed:

Jan. 17, 2023
Applicant:

Verkada Inc., San Mateo, CA (US);

Inventors:

Yi Xu, Belmont, CA (US);

Mayank Gupta, Foster City, CA (US);

Xia Yang, San Jose, CA (US);

Yuanyuan Chen, San Mateo, CA (US);

Zixiao (Shawn) Wang, San Mateo, CA (US);

Qiang (Kevin) Fu, Sunnyvale, CA (US);

Yunchao Gong, Los Altos, CA (US);

Naresh Nagabushan, San Mateo, CA (US);

Assignee:

Verkada Inc., San Mateo, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 16/583 (2019.01); G06F 16/538 (2019.01); G06V 10/82 (2022.01); G06V 10/26 (2022.01); G06F 16/532 (2019.01); G06V 10/56 (2022.01);
U.S. Cl.
CPC ...
G06F 16/5838 (2019.01); G06F 16/532 (2019.01); G06F 16/538 (2019.01); G06V 10/26 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01);
Abstract

A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.


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