Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: Systems, methods, and computer-readable media are described for radar-based object discovery and airspace data collection and management. In some examples, a data service system deploys radars across geographic areas based on a respective radar detection range of the radars and a coverage parameter for the geographic areas, wherein each of the radars is configured to detect object parameters within the respective radar detection range. The data service system collects the object parameters from the radars, determines weather conditions and/or airspace regulations associated with the geographic areas, and models airspace conditions for the geographic areas based on the object parameters and the weather conditions and/or airspace regulations.

Abstract: A device configured to enable multi-room streaming is described. The device may be configured to enable multi-room streaming at diverse destination devices. The device may be configured to receive a user selection of a media item for playback at a plurality of diverse destination devices using a unified graphical user interface. The device may be configured to transmit respective commands such that the media item is paused at a start position without audible playback occurring at each of the destination devices.

Abstract: Systems, methods, and computer-readable media are described using radar systems to avoid vehicle collisions. An example radar system can include antennas mounted on an aircraft, where each antenna has a different orientation facing a different direction away from the aircraft. The radar system can include one or more processing devices and a computer-readable storage medium storing instructions which, when executed by the one or more processing devices, cause the radar system to coordinate digital beam steering and digital beam forming with the antennas to produce a radar coverage area that includes a portion of an airspace around the aircraft; detect, based a signal transmitted by the antennas using the digital beam steering and digital beam forming, an object within the radar coverage area; and generate collision avoidance information including an indication of the object detected within the radar coverage area and/or an instruction for avoiding a collision with the object.

Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: Disclosed are a system and a method for managing a set of videos originating from a camera setup having a plurality of cameras. The system and method provides a mesh of graphical elements superposed with an active video at a display of a user device. The graphical elements are arranged on a virtual surface representing positions of the cameras in a co-ordinate system. The active video originates from the at least one camera, which at least one camera is associated with the graphical element located in the middle portion of the display. In addition, the present disclosure enables correlating relative position, recording direction and order of the multiple cameras for providing multiple viewing positions, for example, on a user interface.

Abstract: Disclosed are a system and a method for managing a set of videos originating from a camera setup having a plurality of cameras. The system and method provides a mesh of graphical elements superposed with an active video at a display of a user device. The graphical elements are arranged on a virtual surface representing positions of the cameras in a co-ordinate system. The active video originates from the at least one camera, which at least one camera is associated with the graphical element located in the middle portion of the display. In addition, the present disclosure enables correlating relative position, recording direction and order of the multiple cameras for providing multiple viewing positions, for example, on a user interface.

Abstract: Disclosed are a system and a method for managing a set of videos originating from a camera setup having a plurality of cameras. The system and method provides a mesh of graphical elements superposed with an active video at a display of a user device. The graphical elements are arranged on a virtual surface representing positions of the cameras in a co-ordinate system. The active video originates from the at least one camera, which at least one camera is associated with the graphical element located in the middle portion of the display. In addition, the present disclosure enables correlating relative position, recording direction and order of the multiple cameras for providing multiple viewing positions, for example, on a user interface.

Abstract: Disclosed are a system and a method for managing a set of videos originating from a camera setup having a plurality of cameras. The system and method provides a mesh of graphical elements superposed with an active video at a display of a user device. The graphical elements are arranged on a virtual surface representing positions of the cameras in a co-ordinate system. The active video originates from the at least one camera, which at least one camera is associated with the graphical element located in the middle portion of the display. In addition, the present disclosure enables correlating relative position, recording direction and order of the multiple cameras for providing multiple viewing positions, for example, on a user interface.

Abstract: A device configured to enable multi-room streaming is described. The device may be configured to enable multi-room streaming at diverse destination devices. The device may be configured to receive a user selection of a media item for playback at a plurality of diverse destination devices using a unified graphical user interface. The device may be configured to transmit respective commands such that the media item is paused at a start position without audible playback occurring at each of the destination devices.

Abstract: The present invention extends to methods, systems, computer program products, and data structures for filtering cached content based on embedded URLs. A computer system accesses a URL that corresponds to cached content. The computer system identifies an embedded URL included in the accessed URL. The embedded URL corresponds to a site that was accessed to retrieve the cached content. The computer system extracts the embedded URL from the accessed URL. The computer system determines whether or not access to the cached content is to be allowed based on the embedded URL.

Abstract: A log file from a server is analyzed and entries in the log file are deleted, combined, or condensed to create a list of page views that more accurately reflects traffic to a server. The list of page views may be added to a database for searching, sorting, and analyzing the page views.

Abstract: The present invention extends to methods, systems, and computer program products for dynamically rating Internet content. A computer receives an indication that at least one URL is available to be rated and that resources (e.g., a content rater) are available for rating the URL. The computer selects a URL, which identifies a portion of Internet content, and transfers the URL to at least two different content classifiers. The computer accesses first rating data corresponding to the identified portion of Internet from a first content classifier. The computer accesses second rating data corresponding to the identified portion of Internet from a second content classifier. The computer combines at least the first rating data and the second rating data into a combined rating corresponding to a specified content category. The computer indicates that the identified portion of Internet content is included in the specified content category.

Abstract: A log file from a server is analyzed and entries in the log file are deleted, combined, or condensed to create a list of page views that more accurately reflects traffic to a server. The list of page views may be added to a database for searching, sorting, and analyzing the page views.

Abstract: The present invention extends to methods, systems, computer program products, and data structures for filtering cached content based on embedded URLs. A computer system accesses a URL that corresponds to cached content. The computer system identifies an embedded URL included in the accessed URL. The embedded URL corresponds to a site that was accessed to retrieve the cached content. The computer system extracts the embedded URL from the accessed URL. The computer system determines if access to the cached content is to be allowed based on the embedded URL.

Abstract: The present invention extends to methods, systems, and computer program products for dynamically rating Internet content. A computer receives an indication that at least one URL is available to be rated and that resources (e.g., a content rater) are available for rating the URL. The computer selects a URL, which identifies a portion of Internet content, and transfers the URL to at least two different content classifiers. The computer accesses first rating data corresponding to the identified portion of Internet from a first content classifier. The computer accesses second rating data corresponding to the identified portion of Internet from a second content classifier. The computer combines at least the first rating data and the second rating data into a combined rating corresponding to a specified content category. The computer indicates that the identified portion of Internet content is included in the specified content category.