Patents by Inventor Kamil Bojanczik

Kamil Bojanczik has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • INSTALL MODE AND CLOUD LEARNING FOR SMART WINDOWS
    Publication number: 20200067870
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Application
    Filed: September 11, 2019
    Publication date: February 27, 2020
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth
  • Install mode and cloud learning for smart windows
    Patent number: 10425376
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Grant
    Filed: August 7, 2015
    Date of Patent: September 24, 2019
    Assignee: Kinestral Technologies, Inc.
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth
  • INSTALL MODE AND CLOUD LEARNING FOR SMART WINDOWS
    Publication number: 20160203403
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Application
    Filed: August 7, 2015
    Publication date: July 14, 2016
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth