Patents by Inventor Bryan Sacks

Bryan Sacks 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).

  • Publication number: 20220327463
    Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing vegetation. The exemplary embodiments may include collecting data of a geospatial region, extracting one or more features from the collected data, evaluating a state of vegetation of the geospatial region based on applying one or more models to the extracted features, creating and assigning one or more work orders based on the evaluation, and upon a change of a status of the work order, adjusting the one or more models to reflect one or more changes to the state of vegetation.
    Type: Application
    Filed: April 7, 2021
    Publication date: October 13, 2022
    Inventors: Lisa Seacat DeLuca, Robert J. Boucher, Bryan Sacks, Robbie Berglund
  • Patent number: 11270111
    Abstract: Embodiments of the present invention are directed to a computer-implemented method for detecting vegetation near a power line. A non-limiting example of the computer-implemented method includes detecting the spectral characteristics of a target location. The spectral characteristics can be used to detect a tree at the target location. The location of the power lines that are within a buffer distance of the tree can be detected. Given that the tree is within a buffer distance, a risk value can be calculated for the tree. The risk value can convey the likelihood that the tree will contact the power line. If the risk is above a threshold amount, a work order can be issued to direct a crew to trim or cut the tree to prevent it from contacting the power line.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: March 8, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Levente I. Klein, John Wamburu, Hendrik F. Hamann, Bryan Sacks, Mahesh Sudhakaran
  • Patent number: 10801474
    Abstract: An embodiment includes sensor data representative of an amount of gas in a storage tank and a speed of wind driving a wind turbine. The embodiment also includes identifying a favorable capacity condition of the storage tank by comparing the amount of gas in the storage tank to the tank's capacity. The embodiment further includes identifying a favorable wind condition by comparing the wind speed to a cut-in speed of the wind turbine. In addition, the embodiment includes receiving wind direction data indicating a direction of the wind driving the wind turbine and identifying a valve position update for a valve that controls gas flow from the tank towards the wind turbine. Finally, the embodiment includes instructing the valve according to the valve position update.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: October 13, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sandeep Sukhija, Bryan Sacks, Deepak Bajaj, Harish Bharti
  • Publication number: 20200250424
    Abstract: Embodiments of the present invention are directed to a computer-implemented method for detecting vegetation near a power line. A non-limiting example of the computer-implemented method includes detecting the spectral characteristics of a target location. The spectral characteristics can be used to detect a tree at the target location. The location of the power lines that are within a buffer distance of the tree can be detected. Given that the tree is within a buffer distance, a risk value can be calculated for the tree. The risk value can convey the likelihood that the tree will contact the power line. If the risk is above a threshold amount, a work order can be issued to direct a crew to trim or cut the tree to prevent it from contacting the power line.
    Type: Application
    Filed: February 4, 2019
    Publication date: August 6, 2020
    Inventors: LEVENTE I. KLEIN, John Wamburu, Hendrik F. Hamann, Bryan Sacks, Mahesh Sudhakaran