Mx Technologies, Inc.

Ryan McBride

Brandon Dewitt

Shane Smit

Robert Montgomery

Daniel Ries

Cristian Chirinos

Josh Bodily

Garrett Thornburg

Jonathan Carstens

John Ryan Caldwell

William Nathan Caldwell

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.

Dynamic feature and performance testing and adjustment

Apparatuses, systems, methods, and computer program products are presented for mobile device based identity verification. An apparatus includes a data module configured to receive sensor data from a hardware device associated with a user. An apparatus includes a transaction module configured to receive transaction data associated with a transaction. An apparatus includes a verification module configured to verify an identity of a user making a transaction based on received sensor data. A transaction may be allowed in response to verifying a user's identity.

Mobile device based identity verification

Apparatuses, methods, systems, and program products are presented for securing data based on randomization. An apparatus includes a security component that is configured to determine, during compile time of an application, at least one random value used to determine a partition size, a set of storage locations, and an access threshold for a data element during execution of the application. An apparatus includes a partition module that is configured to partition a data element into a plurality of data segments that each have a size that is randomly determined, during execution of an application, based on at least one random value to determine the partition size. An apparatus includes a storage module that is configured to randomly determine a first set of storage locations for a plurality of data segments, during execution of an application, based on at least one random value for the set of storage locations.

Securing data based on randomization

Apparatuses, methods, systems, and program products are disclosed for watermark security. An apparatus includes a watermark module configured to generate a digital watermark to be presented as part of a graphical interface based on data presented on the graphical interface. A digital watermark verifies an authenticity of data to be presented in a graphical interface. An apparatus includes a presentation module configured to embed the digital watermark into the graphical interface prior to the data being presented in the graphical interface such that the digital watermark is graphically imperceptible to a user, dynamically update the digital watermark during runtime in response to detecting a change in the at least a portion of the data that is encoded into the digital watermark, and re-embed the digital watermark into the graphical interface in response to the digital watermark being updated.

Watermark security

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. An apparatus comprises a processor and a memory that stores code executable by the processor to receive an electronic submission for a pass/fail interface, identify information from the electronic submission to suggest to a user for entering into an input field for the pass/fail interface prior to submitting the electronic submission to the pass/fail interface to reduce a likelihood that the electronic submission will be rejected at the pass/fail interface, determine the likelihood that the electronic submission will be accepted by the pass/fail interface, and submit the electronic submission to the pass/fail interface in response to the likelihood satisfying a threshold.

Propensity model based optimization

Apparatuses, systems, methods, and computer program products are presented for multi-platform testing automation. A method includes electrically triggering, with a rotate command, at least one mechanical actuator to rotate a frame to successively present different faces of the frame to a camera of a mobile hardware device. A method includes simulating one or more touch input events on a mobile hardware device for each successively presented different face of a frame. At least one mechanical actuator and a mobile hardware device are disposed within an enclosure that comprises a light source. A method includes receiving data associated with simulated one or more touch input events and a camera of a mobile hardware device from the mobile hardware device over a data network.

Multi-platform testing automation

Apparatuses, systems, methods, and computer program products are presented for multi-platform testing automation. A method includes electrically triggering, with a rotate command, at least one mechanical actuator to rotate a frame to successively present different faces of the frame to a camera of a mobile hardware device. A method includes simulating one or more touch input events on a mobile hardware device for each successively presented different face of a frame. Simulated one or more touch input events are received as mirrored one or more actual touch input events on a different mobile hardware device. A method includes receiving data associated with simulated one or more touch input events and a camera of a mobile hardware device from the mobile hardware device over a data network.

Apparatuses, systems, methods, and computer program products are presented for multi-platform testing automation. A method includes electrically triggering, with a rotate command, at least one mechanical actuator to rotate a frame to successively present different faces of the frame to a camera of a mobile hardware device. A method includes simulating one or more touch input events on a mobile hardware device with a delay period between each of the simulated one or more touch input events for each successively presented different face of a frame. A method includes receiving data associated with simulated one or more touch input events and a camera of a mobile hardware device from the mobile hardware device over a data network.

Apparatuses, systems, methods, and computer program products are presented for multi-platform testing automation. A method includes electrically triggering, with a rotate command, at least one mechanical actuator to rotate a frame to successively present different faces of the frame to a camera of a mobile hardware device. A method includes simulating one or more touch input events on a mobile hardware device for each successively presented different face of a frame. A method includes receiving data associated with simulated one or more touch input events and a camera of a mobile hardware device from the mobile hardware device over a data network. Received data includes a hierarchical scene tree having a plurality of nodes associated with objects displayed on a screen of at least one of the mobile hardware devices. A method includes dynamically altering a parameter of one or more nodes based on user input.

Apparatuses, methods, systems, and program products are presented for securing data based on randomization. An apparatus includes a partition module that is configured to partition a data element into a plurality of data segments. An apparatus includes a storage module configured to randomly determine a first set of storage locations for a plurality of data segments such that the data segments are not stored in contiguous storage locations. An apparatus includes a threshold module configured to randomly determine an access threshold for a data element. An access threshold, in certain embodiments, comprises a number of times a data element can be accessed before determining different storage locations for a plurality of data segments, which may be reconstituted in response to a data access. A storage module randomly determines a second set of storage locations for a plurality of data segments in response to an access threshold being satisfied.

Apparatuses, systems, methods, and computer program products are presented for multi-platform testing automation. A method includes electrically triggering, with a rotate command, at least one mechanical actuator to rotate a frame to successively present different faces of the frame to a camera of a mobile hardware device. A method includes simulating one or more touch input events on a mobile hardware device for each successively presented different face of a frame. A method includes receiving data associated with simulated one or more touch input events and a camera of a mobile hardware device from the mobile hardware device over a data network.

Apparatuses, methods, systems, and program products are presented for on-device feature and performance testing and adjustment. An apparatus includes an audit module configured to determine one or more capabilities of a mobile device. An apparatus includes a feature module configured to determine one or more potential features that are executable on a mobile device. An apparatus includes an adjustment module configured to selectively configure, during runtime, one or more potential features that are executable on a mobile device in response to execution of the one or more potential features being affected by one or more capabilities of the mobile device.

On-device feature and performance testing and adjustment

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. A mobile computing device comprises one or more of a camera, a network interface, and an optimization module. An optimization module is configured to process one or more images from a camera using machine learning to determine a likelihood that the one or more images will pass submission to a pass/fail interface over a network interface. An optimization module is configured to submit one or more images to a pass/fail interface over a network interface in response to a likelihood satisfying a threshold.

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Lehi, UT, United States of America

Ryan McBride