Patents by Inventor David Scott Ebert

David Scott Ebert 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).

  • Patent number: 11191227
    Abstract: Disclosed herein are a system and method that integrate vineyard sensor data into an environment that enables analysis, historical trend analytics, spatio-temporal analytics, and weather model fusion for improved decision making from vineyard management to wine production. The integration of new sensor data from multiple soil depths with surface measurements, combined with production flow process and historical information enables new decision making capabilities. A wireless network of sensor/transmitters can be distributed to provide a 3-dimensional assessment of water movement both across the grower's field and as it moves from the surface through the root zone. The soil monitoring data stream feeds into a visualization interface that will be incorporated in software based decision aid and crop management tool that helps agricultural producers reduce costs, minimize water and nutrient applications, and better protect the environment by reducing agricultural production inputs.
    Type: Grant
    Filed: November 2, 2015
    Date of Patent: December 7, 2021
    Assignee: Purdue Research Foundation
    Inventors: David Scott Ebert, Christian E. Butzke, Susan Ebert
  • Publication number: 20200242523
    Abstract: Disclosed herein is a visual analytics system and method that provides a proactive and predictive environment in order to assist decision makers in making effective resource allocation and deployment decisions. The challenges involved with such predictive analytics processes include end-users' understanding, and the application of the underlying statistical algorithms at the right spatiotemporal granularity levels so that good prediction estimates can be established. In the disclosed approach, a suite of natural scale templates and methods are provided allowing users to focus and drill down to appropriate geospatial and temporal resolution levels. The disclosed forecasting technique is based on the Seasonal Trend decomposition based on Loess (STL) method applied in a spatiotemporal visual analytics context to provide analysts with predicted levels of future activity.
    Type: Application
    Filed: February 17, 2020
    Publication date: July 30, 2020
    Applicant: Purdue Research Foundation
    Inventors: David Scott Ebert, Abish Malik, Sherry Towers, Ross Maciejewski
  • Patent number: 10506201
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.
    Type: Grant
    Filed: June 29, 2019
    Date of Patent: December 10, 2019
    Assignee: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal, Yung-hsiang Lu
  • Publication number: 20190327450
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.
    Type: Application
    Filed: June 29, 2019
    Publication date: October 24, 2019
    Applicant: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal, Yung-hsiang LU
  • Patent number: 10368037
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage.
    Type: Grant
    Filed: March 23, 2017
    Date of Patent: July 30, 2019
    Assignee: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal
  • Patent number: 10341617
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.
    Type: Grant
    Filed: March 23, 2017
    Date of Patent: July 2, 2019
    Assignee: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal, Yung-hsiang Lu
  • Publication number: 20170311559
    Abstract: Disclosed herein are a system and method that integrate vineyard sensor data into an environment that enables analysis, historical trend analytics, spatio-temporal analytics, and weather model fusion for improved decision making from vineyard management to wine production. The integration of new sensor data from multiple soil depths with surface measurements, combined with production flow process and historical information enables new decision making capabilities. A wireless network of sensor/transmitters can be distributed to provide a 3-dimensional assessment of water movement both across the grower's field and as it moves from the surface through the root zone. The soil monitoring data stream feeds into a visualization interface that will be incorporated in software based decision aid and crop management tool that helps agricultural producers reduce costs, minimize water and nutrient applications, and better protect the environment by reducing agricultural production inputs.
    Type: Application
    Filed: November 2, 2015
    Publication date: November 2, 2017
    Applicant: Purdue Research Foundation
    Inventors: David Scott Ebert, Christian E. Butzke, Susan Ebert
  • Publication number: 20170280106
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.
    Type: Application
    Filed: March 23, 2017
    Publication date: September 28, 2017
    Applicant: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal, Yung-hsiang LU
  • Publication number: 20170280105
    Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage.
    Type: Application
    Filed: March 23, 2017
    Publication date: September 28, 2017
    Applicant: Purdue Research Foundation
    Inventors: Abish Malik, David Scott Ebert, Hanye Xu, James Tay, Shehzad Afzal
  • Publication number: 20170193144
    Abstract: A system which receives a plurality of high-fidelity simulation data models that together form an asynchronous simulation pipeline, determines low-fidelity approximations of the received simulation data models using local simulation proxies, and displays the approximations on a display for a user to enable the user to interactively configure a simulation run.
    Type: Application
    Filed: December 30, 2016
    Publication date: July 6, 2017
    Applicant: Purdue Research Foundation
    Inventors: Sungahn Ko, Lars Niklas Elmqvist, David Scott Ebert
  • Publication number: 20170011299
    Abstract: Disclosed herein is a visual analytics system and method that provides a proactive and predictive environment in order to assist decision makers in making effective resource allocation and deployment decisions. The challenges involved with such predictive analytics processes include end-users' understanding, and the application of the underlying statistical algorithms at the right spatiotemporal granularity levels so that good prediction estimates can be established. In the disclosed approach, a suite of natural scale templates and methods are provided allowing users to focus and drill down to appropriate geospatial and temporal resolution levels. The disclosed forecasting technique is based on the Seasonal Trend decomposition based on Loess (STL) method applied in a spatiotemporal visual analytics context to provide analysts with predicted levels of future activity.
    Type: Application
    Filed: November 13, 2015
    Publication date: January 12, 2017
    Applicant: PURDUE RESEARCH FOUNDATION
    Inventors: David Scott Ebert, Abish Malik, Sherry Towers, Ross Maciejewski
  • Patent number: 8605952
    Abstract: The present system and method provides a more precise way to record food and beverage intake than traditional methods. The present disclosure provides custom software for use in mobile computing devices that include a digital camera. Photos captured by mobile digital devices are analyzed with image processing and comparisons to certain databases to allow a user to discretely record foods eaten. Specifically, the user captures images of the meal or snack before and after eating. The foods pictured are identified. Image processing software may identify the food or provide choices for the user. Once a food is identified and volume of the food is estimated, nutrient databases are used for calculating final portion sizes and nutrient totals.
    Type: Grant
    Filed: December 27, 2012
    Date of Patent: December 10, 2013
    Assignee: Purdue Research Foundation, Inc.
    Inventors: Carol Boushey, Edward John Delp, David Scott Ebert, Kyle DelMar Lutes, Deborah Kerr
  • Patent number: 8363913
    Abstract: The present system and method provides a more precise way to record food and beverage intake than traditional methods. The present disclosure provides custom software for use in mobile computing devices that include a digital camera. Photos captured by mobile digital devices are analyzed with image processing and comparisons to certain databases to allow a user to discretely record foods eaten. Specifically, the user captures images of the meal or snack before and after eating. The foods pictured are identified. Image processing software may identify the food or provide choices for the user. Once a food is identified and volume of the food is estimated, nutrient databases are used for calculating final portion sizes and nutrient totals.
    Type: Grant
    Filed: September 3, 2009
    Date of Patent: January 29, 2013
    Assignee: Purdue Research Foundation
    Inventors: Carol Boushey, Edward John Delp, David Scott Ebert, Kyle DelMar Lutes, Deborah Kerr
  • Publication number: 20100111383
    Abstract: The present system and method provides a more precise way to record food and beverage intake than traditional methods. The present disclosure provides custom software for use in mobile computing devices that include a digital camera. Photos captured by mobile digital devices are analyzed with image processing and comparisons to certain databases to allow a user to discretely record foods eaten. Specifically, the user captures images of the meal or snack before and after eating. The foods pictured are identified. Image processing software may identify the food or provide choices for the user. Once a food is identified and volume of the food is estimated, nutrient databases are used for calculating final portion sizes and nutrient totals.
    Type: Application
    Filed: September 3, 2009
    Publication date: May 6, 2010
    Applicant: PURDUE RESEARCH FOUNDATION
    Inventors: Carol Boushey, Edward John Delp, David Scott Ebert, Kyle DelMar Lutes, Deborah Kerr