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:
Sep. 13, 2022

Filed:

Jun. 09, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Parthasarathy Sriram, Los Altos, CA (US);

Ratnesh Kumar, Campbell, CA (US);

Farzin Aghdasi, East Palo Alto, CA (US);

Arman Toorians, San Jose, CA (US);

Milind Naphade, Cupertino, CA (US);

Sujit Biswas, San Jose, CA (US);

Vinay Kolar, Cupertino, CA (US);

Bhanu Pisupati, Santa Clara, CA (US);

Aaron Bartholomew, San Francisco, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06K 9/20 (2006.01); G06K 9/32 (2006.01); G06T 7/73 (2017.01); G06T 7/70 (2017.01); G06V 40/20 (2022.01); G06T 7/246 (2017.01); G06T 7/292 (2017.01); H04N 5/247 (2006.01); G06V 10/147 (2022.01); G06V 10/20 (2022.01); G06V 20/52 (2022.01); G06V 20/54 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06V 40/20 (2022.01); G06K 9/6219 (2013.01); G06K 9/6274 (2013.01); G06T 7/246 (2017.01); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 10/147 (2022.01); G06V 10/255 (2022.01); G06V 20/52 (2022.01); G06V 20/54 (2022.01); G06V 20/584 (2022.01); H04N 5/247 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30264 (2013.01); G06V 20/625 (2022.01); G06V 2201/08 (2022.01);
Abstract

The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.


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