US 12,081,913 B2
Camera platform incorporating schedule and stature
Shuai Zheng, Berkeley, CA (US); Fan Yang, San Jose, CA (US); Mohammadhadi Kiapour, San Francisco, CA (US); Qiaosong Wang, San Jose, CA (US); Japjit S. Tulsi, Los Altos Hills, CA (US); and Robinson Piramuthu, Oakland, CA (US)
Assigned to eBay Inc., San Jose, CA (US)
Filed by eBay Inc., San Jose, CA (US)
Filed on Apr. 18, 2023, as Appl. No. 18/302,714.
Application 18/302,714 is a continuation of application No. 17/170,549, filed on Feb. 8, 2021, granted, now 11,665,320.
Application 17/170,549 is a continuation of application No. 16/673,638, filed on Nov. 4, 2019, granted, now 11,126,849, issued on Sep. 21, 2021.
Application 16/673,638 is a continuation of application No. 15/859,056, filed on Dec. 29, 2017, granted, now 10,509,962, issued on Dec. 17, 2019.
Claims priority of provisional application 62/558,836, filed on Sep. 14, 2017.
Prior Publication US 2023/0254455 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 7/18 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06Q 30/0601 (2023.01); G06Q 30/08 (2012.01); G06T 7/60 (2017.01); G06T 11/60 (2006.01); G06V 10/10 (2022.01); G06V 20/20 (2022.01); G06V 30/194 (2022.01); H04N 23/63 (2023.01); G06F 3/04842 (2022.01); G06F 18/2431 (2023.01); H04N 23/61 (2023.01)
CPC H04N 7/185 (2013.01) [G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06Q 30/0623 (2013.01); G06Q 30/08 (2013.01); G06T 7/60 (2013.01); G06T 11/60 (2013.01); G06V 10/10 (2022.01); G06V 20/20 (2022.01); G06V 30/194 (2022.01); H04N 23/63 (2023.01); G06F 3/04842 (2013.01); G06F 18/2431 (2023.01); G06Q 30/0631 (2013.01); G06Q 30/0643 (2013.01); G06T 2210/16 (2013.01); H04N 23/61 (2023.01); H04N 23/631 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented by a computing device, the method comprising:
obtaining, by the computing device, digital images including objects, times at which the digital images are captured, and a user schedule including appointments corresponding to the times the digital images are captured;
recognizing, by the computing device, the objects;
training, by the computing device, a machine learning model to generate a user profile based on the objects recognized, the times at which the digital images are captured, and the user schedule; and
generating, by the computing device, the user profile via the machine learning model.