Methods and systems for supervising displayed content
AssigneeSafe Kids LLC
InventorAbbas Valliani
Life of this patent
Estimating the term…
Abstract
The present disclosure is directed to supervising displayed content. In particular, the methods and systems of the present disclosure may: generate data representing a plurality of images of interfaces displayed by a computing device configured to supervise content displayed to a user; determine, based at least in part on one or more machine learning (ML) models and the data representing the plurality of images, whether the interfaces displayed by the computing device include content of a type designated by a content supervisor of the user for identification; and generate data representing a graphical user interface (GUI) for presentation to the content supervisor, the GUI indicating whether the interfaces displayed by the computing device include content of the type designated for identification.
Claims20
A method comprising:
- generating, by one or more computing devices, data representing a plurality of images of interfaces displayed by a device configured to supervise content displayed to a user;
- determining, by the one or more computing devices and based at least in part on one or more machine learning (ML) models and the data representing the plurality of images, whether the interfaces displayed by the device include content of a type designated by a content supervisor of the user for identification;
- and
- generating, by the one or more computing devices, data representing a graphical user interface (GUI) for presentation to the content supervisor, the GUI indicating whether the interfaces displayed by the device include content of the type designated for identification, wherein:
- the type designated for identification is one of multiple different and distinct types of content designated by the content supervisor for identification;
- the one or more ML models include at least one ML model for each content type of the multiple different and distinct types of content designated for identification;
- and
- the method comprises, for each content type of the multiple different and distinct types of content designated for identification, determining, based at least in part on the data representing the plurality of images and the at least one ML model for the content type, whether the interfaces include content of the content type.
A system comprising:
- one or more processors;
- and
- a memory storing instructions that when executed by the one or more processors cause the system to perform operations comprising:
- generating data representing a plurality of images of interfaces displayed by a device configured to supervise content displayed to a user;
- determining, based at least in part on one or more machine learning (ML) models and the data representing the plurality of images, whether the interfaces displayed by the device include content of a type designated by a content supervisor of the user for identification;
- and
- generating data representing a graphical user interface (GUI) for presentation to the content supervisor, the GUI indicating whether the interfaces displayed by the device include content of the type designated for identification, wherein:
- the type designated for identification is one of multiple different and distinct types of content designated by the content supervisor for identification;
- the one or more ML models include a common ML model configured to identify the multiple different and distinct types of content designated for identification;
- and
- the operations comprise, for each content type of the multiple different and distinct types of content designated for identification, determining, based at least in part on the data representing the plurality of images and the common ML model, whether the interfaces include content of the content type.
One or more non-transitory computer-readable media comprising instructions that when executed by one or more computing devices cause the one or more computing devices to perform operations comprising:
- generating data representing a plurality of images of interfaces displayed by a device configured to supervise content displayed to a user;
- determining, based at least in part on one or more machine learning (ML) models and the data representing the plurality of images, whether the interfaces displayed by the device include content of a type designated by a content supervisor of the user for identification;
- determining, based at least in part on the one or more ML models and data indicating whether the interfaces include content of the type designated for identification, whether display of one or more of the interfaces determined to include content of the type designated for identification at least one of:
- was intentional, or
- indicates a behavior pattern designated by the content supervisor for identification;
- and
- generating data representing a graphical user interface (GUI) for presentation to the content supervisor, the GUI indicating whether the interfaces displayed by the device include content of the type designated for identification and whether display of the one or more of the interfaces determined to include content of the type designated for identification at least one of:
- was intentional, or
- indicates a behavior pattern designated by the content supervisor for identification.
Dependencies are inferred from the claim text.