US 12,230,136 B2
Room presence methods and systems
Colin R. Vallance, Chicago, IL (US); Michael Alan Robinson, Clinton, OH (US); Forrest Weinberg, Northridge, CA (US); and Sankar Nair, Federal Way, WA (US)
Assigned to CDW LLC, Vernon Hills, IL (US)
Filed by CDW LLC, Vernon Hills, IL (US)
Filed on Jan. 10, 2022, as Appl. No. 17/572,528.
Application 17/572,528 is a continuation of application No. 16/923,996, filed on Jul. 8, 2020, granted, now 11,222,537.
Application 16/923,996 is a continuation of application No. 16/823,849, filed on Mar. 19, 2020, granted, now 10,789,846.
Prior Publication US 2022/0130250 A1, Apr. 28, 2022
Int. Cl. B60Q 1/48 (2006.01); G06N 20/00 (2019.01); G06Q 10/02 (2012.01); G06V 20/54 (2022.01); G08G 1/04 (2006.01); G08G 1/14 (2006.01); H04W 68/00 (2009.01)
CPC G08G 1/146 (2013.01) [G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06V 20/54 (2022.01); G08G 1/04 (2013.01); G08G 1/142 (2013.01); H04W 68/005 (2013.01); G06V 2201/08 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for performing room presence detection,
comprising:
receiving a live digital image corresponding to a room in a building;
detecting a human in the live digital image using a trained machine learning model;
identifying a file digital image corresponding to the human by comparing the live digital image to one or more file digital images within a list of digital images, wherein the identifying includes determining that the identity of the human in the file digital image is the same as the identity of the live digital image; and
displaying, in a graphical user interface, a room map corresponding to the room including a person indicator corresponding to the identified human.