US 11,893,295 B2
System for estimating a setting value using a trained model generated by collecting data on a device
Kenta Yabe, Kanagawa (JP)
Assigned to Canon Kabushiki Kaisha, Tokyo (JP)
Filed by CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed on Jul. 14, 2021, as Appl. No. 17/375,967.
Application 17/375,967 is a continuation of application No. PCT/JP2020/000459, filed on Jan. 9, 2020.
Claims priority of application No. JP2019-007010 (JP), filed on Jan. 18, 2019.
Prior Publication US 2021/0342108 A1, Nov. 4, 2021
Int. Cl. G06F 3/12 (2006.01); G06N 20/00 (2019.01); H04N 1/00 (2006.01)
CPC G06F 3/1279 (2013.01) [G06F 3/1205 (2013.01); G06N 20/00 (2019.01); H04N 1/00015 (2013.01); H04N 1/00037 (2013.01); H04N 1/00082 (2013.01); H04N 1/00129 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A system for making an estimate using a trained model which is generated by performing training based on collected date on a device, the system comprising:
at least one memory that stores instructions; and
at least one processor that execute the instructions to perform:
obtaining device information about a device being used by a user;
using the trained model to estimate a setting value related to a process to be performed by the device being used by the user;
determining whether the estimated setting value is settable on the device based on the obtained device information; and
adjusting the estimated setting value if it is determined that the estimated setting value is unable to be set,
wherein the device being used by the user displays the adjusted setting value as a setting value related to the process to be performed by the device.