US 11,659,143 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 Jun. 15, 2021, as Appl. No. 17/348,010.
Application 17/348,010 is a continuation of application No. 16/673,638, filed on Nov. 4, 2019, granted, now 11,126,849.
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 2021/0312180 A1, Oct. 7, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 7/18 (2006.01); G06T 11/60 (2006.01); G06Q 30/08 (2012.01); G06Q 30/0601 (2023.01); G06N 20/00 (2019.01); G06V 20/20 (2022.01); G06F 18/214 (2023.01); H04N 23/63 (2023.01); G06T 7/60 (2017.01); G06F 18/2431 (2023.01); H04N 23/61 (2023.01); G06F 3/04842 (2022.01)
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 20/20 (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 comprising:
receiving a user schedule;
detecting an upcoming appointment from the user schedule;
identifying a location based on the upcoming appointment;
generating a recommendation of an object for the upcoming appointment based on the upcoming appointment and the location using a machine-learning model, the machine-learning model trained using digital images, times at which the digital images are captured, appointments from a training schedule of the user, and locations; and
outputting the recommendation in a user interface.