US 12,136,160 B2
Augmented reality experience power usage prediction
Tejas Bahulkar, Sunnyvale, CA (US); Edward Lee Kim-Koon, Venice, CA (US); and Ashwani Arya, Cypress, CA (US)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Apr. 27, 2022, as Appl. No. 17/661,001.
Prior Publication US 2023/0351666 A1, Nov. 2, 2023
Int. Cl. G06T 15/00 (2011.01); G06F 18/214 (2023.01); G06T 19/00 (2011.01); H04W 52/02 (2009.01)
CPC G06T 15/005 (2013.01) [G06F 18/214 (2023.01); G06T 19/006 (2013.01); H04W 52/0267 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
accessing, by one or more processors, resource utilization data associated with execution of an augmented reality (AR) experience;
applying, by the one or more processors, a machine learning model to the resource utilization data to estimate power consumption of the AR experience, the machine learning model having been trained based on input corresponding to a relationship between a plurality of training resource utilization data associated with training AR experiences and corresponding ground-truth power consumption of the training AR experiences;
presenting a notification comprising a message informing a user of the AR experience that the estimated power consumption of the AR experience transgresses a threshold value, the notification comprising a modify operations option; and
in response to receiving input that selects the modify operations option from the notification, adjusting, by the one or more processors, one or more operations of the AR experience to reduce power consumption based on the estimated power consumption of the AR experience.