Abstract: Devices, systems and processes for providing local alerts to users via non-local channels are described. A process may include receiving, by a content distributor system, an alert message. The alert message includes a first alert condition and a second alert condition. The first alert condition and the second alert condition are identified in the alert message, and an alert notice is generated, based on the identified alert conditions, and transmitted to a user device coupled to the content distributor system. The first alert condition specifies an alert type. The second alert condition specifies a time period. The alert message may include a third alert condition specifying an action for a user of the user device to take or refrain from taking during the time period and the alert notice may identify the action. The alert message may include a target condition and the alert notice identifies actions to be performed.

Abstract: The disclosed system receives a first request from a first user device to record, using a first camera, a first image of an object in a surrounding environment. The first request includes an indication to zoom the first camera, wherein zooming the camera enlarges an appearance of the object in the image. The system sends a second request to a second user device to record a second image of the object. The second user device is closer to the object than the first user device. A first orientation of the first user device and a second orientation of the second user device satisfies a first criterion. The system causes the second user device to record the second image of the object using the second camera, receives the second image from the second user device, and provides the second image to a display of the first user device.

Abstract: A virtual sports betting system, including: one or more processors; and one or more memory devices having stored thereon instructions that when executed by the one or more processors cause the one or more processors to: receive a sports category selection; determine a set of live broadcast events corresponding to the selected sports category; receive one or more data streams corresponding to each live broadcast event; display each of the data streams on a head mounted display (HMD); retrieve available wager information corresponding to each of the set of live broadcast events from one or more third-party betting platforms; and display the retrieved wager information on the HMD adjacent the display of the associated data stream.

Abstract: Devices, systems and process for automated event ticketing are disclosed. A system includes: a user device having a data store and a processor coupled to the data store; a set top box (“STB”), coupled to the user device, having an STB data store and an STB processor; and at least one event server, coupled to the STB providing event data and event ticketing data for a plurality of events. Based on user preference data received from the user device, the STB processor searches the plurality of events for a given event which matches, at least in part, the user preference data, and when instructed by the STB, the event ticketing engine facilitates ticketing of the given user to the given event. When executed, first computer instructions instantiate a content application that performs content monitoring and user preferencing, and based on the foregoing generates user preference data.

Abstract: The disclosed system receives a first request from a first user device to record, using a first camera, a first image of an object in a surrounding environment. The first request includes an indication to zoom the first camera, wherein zooming the camera enlarges an appearance of the object in the image. The system sends a second request to a second user device to record a second image of the object. The second user device is closer to the object than the first user device. A first orientation of the first user device and a second orientation of the second user device satisfies a first criterion. The system causes the second user device to record the second image of the object using the second camera, receives the second image from the second user device, and provides the second image to a display of the first user device.

Abstract: Devices, systems and process for automated event ticketing are disclosed. A system includes: a user device having a data store and a processor coupled to the data store; a set top box (“STB”), coupled to the user device, having an STB data store and an STB processor; and at least one event server, coupled to the STB providing event data and event ticketing data for a plurality of events. Based on user preference data received from the user device, the STB processor searches the plurality of events for a given event which matches, at least in part, the user preference data, and when instructed by the STB, the event ticketing engine facilitates ticketing of the given user to the given event. When executed, first computer instructions instantiate a content application that performs content monitoring and user preferencing, and based on the foregoing generates user preference data.

Abstract: A media device control system is provided herein. The media device control system receives a first indication of a geographic location of a set-top box associated with a user and receives a second indication of data representing one or more vacation time periods based on the geographic location. The media device control system determines that the user is predicted to be on vacation within a period of time based on the data representing the one or more vacation time periods and the geographic location. The media device control system receives user input confirming that the user will go on vacation within the period of time. The media device control system causes the set-top box to transmit signals to activate a television during the period of time based on the user input indicating that the user will go on vacation within the period of time.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: A media device control system is provided herein. The media device control system receives a first indication of a geographic location of a set-top box associated with a user and receives a second indication of data representing one or more vacation time periods based on the geographic location. The media device control system determines that the user is predicted to be on vacation within a period of time based on the data representing the one or more vacation time periods and the geographic location. The media device control system receives user input confirming that the user will go on vacation within the period of time. The media device control system causes the set-top box to transmit signals to activate a television during the period of time based on the user input indicating that the user will go on vacation within the period of time.

Abstract: A media device control system is provided herein. The media device control system receives a first indication of a geographic location of a set-top box associated with a user and receives a second indication of data representing one or more vacation time periods based on the geographic location. The media device control system determines that the user is predicted to be on vacation within a period of time based on the data representing the one or more vacation time periods and the geographic location. The media device control system receives user input confirming that the user will go on vacation within the period of time. The media device control system causes the set-top box to transmit signals to activate a television during the period of time based on the user input indicating that the user will go on vacation within the period of time.

Abstract: Devices, systems and process for automated event ticketing are disclosed. A system includes: a user device having a data store and a processor coupled to the data store; a set top box (“STB”), coupled to the user device, having an STB data store and an STB processor; and at least one event server, coupled to the STB providing event data and event ticketing data for a plurality of events. Based on user preference data received from the user device, the STB processor searches the plurality of events for a given event which matches, at least in part, the user preference data, and when instructed by the STB, the event ticketing engine facilitates ticketing of the given user to the given event. When executed, first computer instructions instantiate a content application that performs content monitoring and user preferencing, and based on the foregoing generates user preference data.

Abstract: Devices, systems and processes for providing local alerts to users via non-local channels are described. A process may include receiving, by a content distributor system, an alert message. The alert message includes a first alert condition and a second alert condition. The first alert condition and the second alert condition are identified in the alert message, and an alert notice is generated, based on the identified alert conditions, and transmitted to a user device coupled to the content distributor system. The first alert condition specifies an alert type. The second alert condition specifies a time period. The alert message may include a third alert condition specifying an action for a user of the user device to take or refrain from taking during the time period and the alert notice may identify the action. The alert message may include a target condition and the alert notice identifies actions to be performed.

Abstract: Devices, systems and processes for providing local alerts to users via non-local channels are described. A process may include receiving, by a content distributor system, an alert message. The alert message includes a first alert condition and a second alert condition. The first alert condition and the second alert condition are identified in the alert message, and an alert notice is generated, based on the identified alert conditions, and transmitted to a user device coupled to the content distributor system. The first alert condition specifies an alert type. The second alert condition specifies a time period. The alert message may include a third alert condition specifying an action for a user of the user device to take or refrain from taking during the time period and the alert notice may identify the action. The alert message may include a target condition and the alert notice identifies actions to be performed.

Abstract: The disclosed system receives a first request from a first user device to record, using a first camera, a first image of an object in a surrounding environment. The first request includes an indication to zoom the first camera, wherein zooming the camera enlarges an appearance of the object in the image. The system sends a second request to a second user device to record a second image of the object. The second user device is closer to the object than the first user device. A first orientation of the first user device and a second orientation of the second user device satisfies a first criterion. The system causes the second user device to record the second image of the object using the second camera, receives the second image from the second user device, and provides the second image to a display of the first user device.

Abstract: A virtual sports betting system, including: one or more processors; and one or more memory devices having stored thereon instructions that when executed by the one or more processors cause the one or more processors to: receive a sports category selection; determine a set of live broadcast events corresponding to the selected sports category; receive one or more data streams corresponding to each live broadcast event; display each of the data streams on a head mounted display (HMD); retrieve available wager information corresponding to each of the set of live broadcast events from one or more third-party betting platforms; and display the retrieved wager information on the HMD adjacent the display of the associated data stream.

Abstract: A process for rendering objects includes detecting a first surface of an object oriented in a first position. A first image is captured with a camera and at least partially captures a first marker on the first surface. A prompt requests manipulation of the object into a second position to expose a second surface to the camera in response to detecting a missing image of a marker. A second image of the second surface is captured with the camera and at least partially captures a second marker on the second surface. The object is rendered as a virtual representation in a virtual environment in response to detecting the first marker in the first image and the second marker in the second image. The size of the virtual representation is estimated based on the detected size of at least one of the first marker and the second marker.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: Devices, systems and processes for providing local alerts to users via non-local channels are described. A process may include receiving, by a content distributor system, an alert message. The alert message includes a first alert condition and a second alert condition. The first alert condition and the second alert condition are identified in the alert message, and an alert notice is generated, based on the identified alert conditions, and transmitted to a user device coupled to the content distributor system. The first alert condition specifies an alert type. The second alert condition specifies a time period. The alert message may include a third alert condition specifying an action for a user of the user device to take or refrain from taking during the time period and the alert notice may identify the action. The alert message may include a target condition and the alert notice identifies actions to be performed.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.