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Dynamic feature and performance testing and adjustment

專(zhuān)利號(hào)
US11175908B2
公開(kāi)日期
2021-11-16
申請(qǐng)人
MX Technologies, Inc.(US UT Lehi)
發(fā)明人
Ryan McBride; Brandon Dewitt; Shane Smit; Josh Bodily
IPC分類(lèi)
G06F8/70; G06F11/36; G06N20/00
技術(shù)領(lǐng)域
or,module,adjustment,device,testing,feature,mobile,in,may,user
地域: UT UT Lehi

摘要

Apparatuses, methods, systems, and computer program products are presented for dynamic feature and performance testing and adjustment. An audit module is configured to dynamically test a plurality of image capture settings for a camera of a mobile device of an end user in an executable mobile application executing on the mobile device. A feature module is configured to select one of a plurality of image capture settings for a camera of a mobile device based on a dynamic test. An adjustment module is configured to dynamically configure, during runtime of an executable mobile application on a plurality of different mobile devices of different end users, the different mobile devices to use a selected one of a plurality of image capture settings.

說(shuō)明書(shū)

A feature module, in certain embodiments, is configured to select a different one of a plurality of image capture settings for different mobile device types. In a further embodiment, a feature module is configured to select a different one of a plurality of image capture settings for different mobile device makes and models.

An executable mobile application, in some embodiments, comprises a remote deposit capture mobile application configured to electronically deposit checks using images of checks captured by a camera of a mobile device of an end user. In one embodiment, a dynamic test comprises a success rate for electronic deposit of checks using images of checks captured by a camera of a mobile device of an end user using a plurality of image capture settings for the camera of the mobile device of the end user.

In some embodiments, a feature module is configured to select one of a plurality of image capture settings using machine learning. Results of a dynamic test of a plurality of image capture settings, in certain embodiments, are provided as input into machine learning to generate one or more predictions of one of a plurality of image capture settings to select.

An audit module, in some embodiments, is configured to update a dynamic test of a plurality of image capture settings at periodic intervals. In a further embodiment, a feature module is configured to reselect a different one of a plurality of image capture settings for a camera of a mobile device based on an updated dynamic test. An adjustment module, in one embodiment, is configured to dynamically reconfigure different mobile devices of different end users to use a different one of a plurality of image capture settings.

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