Thermal Imaging Radar, LLC

Barlea Corporation

Lawrence Richard Jones

David T Kay

Dana Rees

Michael D Dortch

Sezai Sablak

Larry J Price

Bryce Lembke

Daniel J Dubeau

Samuel William Nathan

Systems and methods for enabling auditing access to protected data stored at a data service using smart contracts on a blockchain are disclosed. According to certain aspects, a compliance management system may maintain and update a public blockchain with transaction indicative of non-compliance events associated with access to the protected data. Auditors or other third parties may access the public blockchain to audit the access to the protected data. Additionally, the compliance management system may implement a private blockchain to manage access restrictions to the protected data and process data requests for the protected data.

Technologies for auditing and maintaining access to protected data

Generating panoramic video viewable at a third-party video management system includes receiving image data captured by at least one camera. The received image data may be captured at a plurality of angles (e.g., stop positions) arranged about a single axis (e.g., about which the camera rotates). The received image data may optionally be analyzed. Based on the received image data (and any optional analysis thereof), panoramic video derived from the captured image data (e.g., still images) may then be generated. A single video stream including the generated panoramic video may then be generated. The single generated video stream may then be sent to a third-party video management system (VMS). The video stream may be usable by the video management system for displaying the generated panoramic video. Various other views or other information may also be included in the single video stream sent to the VMS.

Generating panoramic video for video management systems

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

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Mapleton, UT, United States of America

Lawrence Richard Jones