Microsoft Technology Licensing, LLC

Axon Enterprise, Inc.

David Neil MacDonald

Shai Guday

Piyush Goyal

Triptpal Singh Lamba

Saumaya Sharma

Darya Mazandarany

Thomas W Kuehnel

Brent Edward Ford

Sidharth Nabar

Christopher R Rice

James Christopher Gray

Nicholas A Banks

Tyler Edward Hennessy

Adam R Dyba

Vikas Singh

Jonathan Hathaway

Mohammad Shabbir Alam

Vladimir Holostov

Olaf Alexander Miller

Douglas Edward Stamper

James J McNelis

Javier Flores Assad

Gregory Thomas Caponigro

Shi Chen

Systems, devices, and methods for detecting and reporting recording status are disclosed. A recording device determines a recording status of the recording device. The recording device receives via wireless communication one or more beacons from one or more other recording devices, the one or more beacons include information regarding a recording status of the one or more other recording devices respectively. The recording device provides information regarding the recording status of the recording device and the one or more other recording devices via a user interface of the recording device.

Systems and methods for detecting and reporting recording status

Various technologies described herein pertain to utilization of shared Wi-Fi. For instance, network access rights of a Wi-Fi network can be controlled by a mobile device of a point of contact for the Wi-Fi network. Moreover, utilization of a Wi-Fi network can be tracked and usage data indicative of historic utilization of the Wi-Fi network can be retained. Further, groups of users between whom Wi-Fi credentials are shared can be created.

Shared Wi-Fi usage

System and methods for aligning event data recorded by recording devices. Recording devices create, transmit, and store alignment data. Alignment data created by a recording device is stored in the memory of the recording device with a time that is maintained by the recording device and that is relative to the time of event data recorded by the recording device that creates the alignment data. Recording devices further receive and store transmitted alignment data. Alignment data received by a recording device is stored in the memory of the recording device with a time that is maintained by the receiving recording device and that is relative to the time of event data recorded by the recording device that creates alignment data. Stored alignment data may be used to align the playback of event data of devices that have the same alignment data. Alignment data may include information as to the recording status of the device that transmits the alignment data. Recording status may be reported.

Various technologies described herein pertain to configuring an access point in a local network for operation in a community Wi-Fi network. The community Wi-Fi network includes access points in differing local networks that share respective network bandwidth capacities with member computing devices of the community Wi-Fi network. A request to join the access point to the community Wi-Fi network is transmitted from the access point to a community aggregation system. Responsive to the request, the community aggregation system transmits a firmware update to the access point. The access point installs the firmware update in memory of the access point. Moreover, responsive to installation of the firmware update, the access point can share network bandwidth capacity with the member computing devices of the community Wi-Fi network. Further, the community aggregation system supports transparent handoffs between access points in to the community Wi-Fi network.

Community Wi-Fi network joined access point configuration

Embodiments produce a set of instructions for connecting to a network through a network access point based on data crowdsourced from mobile computing devices. The crowdsourced data describes interactions between the mobile computing devices and the network access point when establishing a connection to the network. A cloud service analyzes the crowdsourced data to identify a set of instructions for association with the network access point. The mobile computing devices replay the set of instructions when subsequently attempting to connect to the network access point.

Generating sequenced instructions for connecting through captive portals

Embodiments provision captive portals on network access points (NAPs). In response to a request from a NAP owner, a cloud service associates a NAP with the NAP owner and provides a control channel for configuring the NAP. The NAP owner inputs configuration settings describing the captive portal. The cloud service processes the configuration settings to generate configuration data. The cloud service transmits the configuration data to the NAP. The NAP applies the configuration data to configure the NAP. Some embodiments configure Wi-Fi hotspots with captive portals for gated access to the Internet.

Configuring captive portals with a cloud service

Embodiments apply a set of sequenced instructions to connect to a network through a captive portal. A computing device detects a network access point and obtains the instruction set corresponding to the network access point. The instruction set is derived by a cloud service from crowdsourced data describing interactions between mobile computing devices and the network access point. Applying the instruction set includes performing actions such as navigating web pages to accept terms and conditions, provide user or device information, and more.

Applying sequenced instructions to connect through captive portals

Various technologies described herein pertain to sharing Wi-Fi credentials based upon relationships in a computer-implemented social network. At least one server computing device of a Wi-Fi credential sharing service receives an identifier from a mobile device and credentials for a Wi-Fi network from the mobile device. The identifier identifies a user of the mobile device. Moreover, the credentials for the Wi-Fi network are desirably shared by the user. Further, contacts of the user are retrieved from the social network. The credentials for the Wi-Fi network are retained in respective accounts of the contacts of the user from the social network. Further, an account of a contact includes credentials for Wi-Fi networks shared with the contact.

Sharing based on social network contacts

Various technologies described herein pertain to managing and accessing a community Wi-Fi network. The community Wi-Fi network can include sharer computing devices in differing local networks that share respective network bandwidth capacities with consumer computing devices. Feedback information pertaining to network bandwidth capacity available at different geographic locations covered by the community Wi-Fi network can be collected and evaluated to enable generation of maps for visualizing coverage of the community Wi-Fi network. A consumer computing device can display a map that includes visual information pertaining to the geographic coverage of the community Wi-Fi network relative to a geographic location of the consumer computing device. Community Wi-Fi network coverage can be analyzed to detect geographic locations at which network coverage is desirably added; network coverage can be added by incentivizing a potential sharer computing device to opt in to share network bandwidth capacity or controlling beamforming of sharer computing device(s).

Management of community Wi-Fi network

A method, apparatus, and computer-readable medium for analyzing network data streams with parsers generated using script based parsers is provided. The script based parsers are used to analyze the captured frames of a network data stream and identify conversations in the frames. The script based parsers are written in a language that describes network protocols. A script interpreter interprets script to build a parser in the memory of a computing device. A parsing engine uses the protocol parsers stored in memory to parse frames. A capture engine captures frames for parsing and frames are organized into conversations. The parsing of frames is optimized by substituting data structure sizes for data structures that are not of interest in a particular parser.

Growing community of inventors

Seattle, WA, United States of America

David Neil MacDonald