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. 09, 2022

Filed:

May. 26, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Vijay Kamarshi, Cupertino, CA (US);

Prasanna Venkatesh Krishnasamy, San Jose, CA (US);

Amit Tikare, Pleasanton, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/222 (2006.01); G01B 11/02 (2006.01); H04N 13/00 (2018.01); G06T 7/246 (2017.01); G01S 5/00 (2006.01); G06T 7/73 (2017.01); G06F 3/01 (2006.01); G06T 7/20 (2017.01); G06V 20/00 (2022.01); G06V 20/20 (2022.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01); A61B 34/20 (2016.01);
U.S. Cl.
CPC ...
H04N 5/2226 (2013.01); G01B 11/026 (2013.01); G01S 5/00 (2013.01); G06F 3/017 (2013.01); G06T 7/20 (2013.01); G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06V 20/00 (2022.01); G06V 20/20 (2022.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01); H04N 13/00 (2013.01); A61B 2034/2065 (2016.02); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30196 (2013.01); G06V 2201/07 (2022.01);
Abstract

Techniques for efficiently identifying objects of interest in an environment and, thereafter, determining the location and/or orientation of those objects. As described below, a system may analyze images captured by a camera to identify objects that may be represented by the images. These objects may be identified in the images based on their size, color, and/or other physical attributes. After identifying these potential objects, the system may define a region around each object for further inspection. Thereafter, portions of a depth map of the environment corresponding to these regions may be analyzed to determine whether any of the objects identified from the images are 'objects of interest'—or objects that the system has previously been instructed to track. These objects of interest may include portable projection surfaces, a user's hand, or any other physical object. The techniques identify these objects with reference to the respective depth signatures of these objects.


Find Patent Forward Citations

Loading…