Thermal Imaging Radar, LLC

D-Tect Systems, Inc.

Bryce Lembke

Michael D Dortch

Larry J Price

Sezai Sablak

Lawrence Richard Jones

Paul Hepworth

Shaun P Greene

Brian A Wittman

Enoch Lee

A wireless mesh network may have a plurality of nodes, each of which is able to dynamically establish itself as a gateway when a connection with an end-user device is detected. To route data to an end-user device, each node that is not, itself, a gateway to that device may route traffic along a path to the appropriate gateway. If a node does not have such a path in memory, it may broadcast an inquiry to all nodes with which communicates directly, to determine whether any of those nodes are a gateway to the end-user device, or have a path to the end-user device in memory. Thus, paths to gateways may propagate among the nodes. If multiple paths are available, a node may select the path that provides the best data transmission. Each node may replace pathways that are no longer valid, allowing the network to repair itself if needed.

System and method for enhanced communications on a wireless mesh network

Creating a background model for image processing to identify new foreground objects in successive video frames. A method includes providing a background image in a user interface. The method further includes receiving a first user input in the user interface that comprises an identification of one or more different regions within the background image. The method further includes receiving a second user input in the user interface that comprises a selection of an image change tolerance for each of the identified different regions. The method further includes providing the background image, information identifying the different regions, and the image change tolerances to an image processor. The background image, the information identifying the different regions, and the image change tolerances are used by the image processor to create a background model to thereby compare a successive image with the background model in order to identify foreground objects within the successive image.

Setting different background model sensitivities by user defined regions and background filters

Detecting an extreme temperature event. A method includes collecting raw data from a high resolution sensor. The method further includes identifying in the raw collected data one or more changing data point values. The method further includes identifying, in the raw collected data that the one or more changing data point values have reached a determined threshold that indicates with a high level of probability that an extreme temperature event has occurred. Alternatively, the method may include identifying in the raw collected data a sudden extreme increase in one or more data point values that cross a threshold which indicates with a high level of probability that an extreme temperature event has occurred. As a result, the method includes issuing an alert indicating that an extreme temperature event has occurred.

Fire detection system

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South Jordan, UT, United States of America

Bryce Lembke