Dish Network LLC

Dish Technologies L.l.c.

Echostar Technologies Corporation

Dish Wireless L.l.c.

Prakash Subramanian

Nicholas Newell

John C Calef, Iii

Allyson Lotz

Zachary Pierucci

Ribhav Agarwal

Omar Khan

Robert Laughlin

Ryan Hinrichs

Matthew Xi

Michael Scott Tarver

Adam Lawson

Jason Marcus Sachinger

Kayhan Karatekeli

John Calef

A technique is described for implementing drones as a service. As an example, a drone may receive instructions from one or more network elements, coordinate operations with the one or more network elements, and perform at least one task associated with the instructions. The drone may deliver a container to a first location and perform object recognition to validate an object of a subscriber being delivered to a second location. The drone may measure the weight and dimensions of the object to confirm the object is within operating guidelines. After verifying the object is within operating guidelines, the drone may transport the container containing the object to the second location.

Systems and methods for drones as a service

A request is determined to move from a first location to a second location to receive an item, the request specifying a transport vehicle to move the mobile platform from the first location to the second location. The mobile platform is actuated to attach to the transport vehicle.

Mobile transport platform

Media content recommendation systems and methods are operable to recommend one or more media content events to a user based on identified changes in the user's emotional state during a life event that is experienced by the user.

Apparatus, systems and methods for generating an emotional-based content recommendation list

A computing device is programmed to receive data collected from communications of a user. The computer identifies portions of the collected data including a keyword selected from a list of media content elements or lists of keywords associated with each of the media content elements. The computer associates each portion with a media content element. The computer further determines a score for each media content element based on at least one of the number of references, words included in the portion of collected referring to the media content element, and the voice quality of the portion of collected data referring to the media content element. Based on the scores, the computer assigns media content elements to the user. The computer recommends media content items to the user based at least in part on the media content elements assigned to the user.

Providing media content based on media element preferences

Systems and methods are directed towards the interpretation of driver intent relative to other vehicles. A computing device within a vehicle includes at least one camera, an output device, and circuitry. The computing device captures images of an area outside of the vehicle. The computing device identifies another vehicle relative to the vehicle. The computing device determines a driving intent of the driver, such as based on an analysis images or audio of the driver. The computing device determines whether the vehicle is moving within a threshold time after determining the driving intent. If the vehicle is moving within the threshold time, then the driver is identified as engaging in aggressive driving towards the other vehicle. The computing device may also provide information to the other vehicle indicating the driving intent of the driver.

System and method to detect driver intent and employ safe driving actions

A facility for operating an application on a server having a number of processors is described. The facility receives a number of application requests, each addressed to one of a plurality of instances of the application executing on the server. The facility causes each received application request to be processed in the application instance to which it was addressed, using exclusively processing resources of a selected one of the plurality of processors on which the application instance was invoked, using exclusively memory locations served by memory modules to which the selected processor is directly connected.

Streamlining the execution of software such as radio access network distributed units

An electronic monitoring and protection system which obtains permission from each of a plurality of users to access security data from one or more monitoring devices. The electronic monitoring and protection system using the security data to determine a threat level posed to a person to be protected, and initiating an action if the threat level exceeds a predetermined threshold.

Systems and methods for electronic monitoring and protection

Techniques are provided for implementing automated contagion detection and remediation (ACDR) features to detect and remediate environmental contagion conditions. For example, ACDR techniques can be used to target contagion contamination on surfaces in a trafficked area, rather than focusing detecting and remediating human symptoms. ACDR systems can include swarms of specially configured drones under control of one or more centralized controllers to detect presence of one or more types of pathogens on surfaces and to classify detected contagion events. In some embodiments, upon such detection, the same or other specially configured drones can be triggered to remediate the detected condition by removing the pathogen by disinfecting surfaces, by cordoning off infected areas, and/or in other ways. Some embodiments can further log and aggregate data relating to detected contagion events to support tracking, remediation, enforcement, protocol updating, research, and/or other efforts.

Automated detection and remediation of contagion events

First and second speech data can be received from respective first and second devices. The first and second speech data can be determined to be from a same dialog. A link can be generated based on the dialog.

Audio-based link generation

Embodiments are directed towards the interpretation of driver behavior and communication with autonomous vehicles and incentivizing drivers based on the driver's behavior. A computing device that sits on the dashboard of a vehicle includes at least one camera and circuitry. The computing device captures first images of the driver in the vehicle and second images of an area outside the vehicle. The computing device identifies another vehicle based on an analysis of the second images. The computing device determines a driving behavior of the driver based on an analysis of the first images. The computing device determines if the driving behavior satisfies a positive incentive threshold or a negative incentive threshold. The computing device selects and provides a positive or negative incentive to the driver in response to the driving behavior satisfying the positive incentive threshold or the negative incentive threshold, respectively.

System and method to detect driver behavior and employ driver incentives

Embodiments are directed towards the interpretation of driver intent and communication of that intent with autonomous vehicles at a traffic intersection. A computing device that sits on the dashboard of a vehicle includes at least one camera, an output device, and circuitry. The computing device captures first images of the driver in the vehicle and second images of the traffic intersection. The computing device identifies another vehicle at or approaching the intersection based on an analysis of the second images. The computing device determines an attention direction and hand movement of the driver based on an analysis of the first images to determine a driving intent of the driver. The computing device provides information to the other vehicle indicating the driving intent of the driver. The computing device may also obtain the driving intent of the other vehicle and provide information to the driver indicating the other vehicle's intent.

Growing community of inventors

Littleton, CO, United States of America

Prakash Subramanian