Patents by Inventor Jonathan W. LUU

Jonathan W. LUU 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: 20240354520
    Abstract: An apparatus for automated safety data sheet (SDS) processing that translates the entire SDSs from numerous chemical vendors, and in various formats (.pdf, .doc, .txt, .jpg, .gif, .png, etc) to machine-encoded text by employing optical, RFID, and infrared scanning, reading and writing devices. The apparatus reads and assess documents as a human would; ensuring that the documents are compliant, ensuring reported values are within expected thresholds, and that there are no conflicts in hazardous material classification, and comparing to similar products for more environmentally friendly alternatives. The apparatus further employs a processor that computes meta-algorithms as trainable neural networks that allow the invention to “learn” and appropriately classify values and calculate statistical probabilities for output accuracy and precision.
    Type: Application
    Filed: July 2, 2024
    Publication date: October 24, 2024
    Inventors: Jonathan W. Luu, Kevin P. Fenton, Steve Simske
  • Patent number: 12056456
    Abstract: An apparatus for automated safety data sheet (SDS) processing that translates the entire SDSs from numerous chemical vendors, and in various formats (.pdf, .doc, .txt, .jpg, gif, .png, etc) to machine-encoded text by employing optical, RFID, and infrared scanning, reading and writing devices. The apparatus reads and assess documents as a human would; ensuring that the documents are compliant, ensuring reported values are within expected thresholds, and that there are no conflicts in hazardous material classification, and comparing to similar products for more environmentally friendly alternatives. The apparatus further employs a processor that computes meta-algorithms as trainable neural networks that allow the invention to “learn” and appropriately classify values and calculate statistical probabilities for output accuracy and precision.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: August 6, 2024
    Assignee: United States of America as represented by the Secretary of the Air Force
    Inventors: Jonathan W. Luu, Kevin P. Fenton, Steve Simske
  • Publication number: 20240232544
    Abstract: An apparatus for automated safety data sheet (SDS) processing that translates the entire SDSs from numerous chemical vendors, and in various formats (.pdf, .doc, .txt, .jpg, .gif, .png, etc) to machine-encoded text by employing optical, RFID, and infrared scanning, reading and writing devices. The apparatus reads and assess documents as a human would; ensuring that the documents are compliant, ensuring reported values are within expected thresholds, and that there are no conflicts in hazardous material classification, and comparing to similar products for more environmentally friendly alternatives. The apparatus further employs a processor that computes meta-algorithms as trainable neural networks that allow the invention to “learn” and appropriately classify values and calculate statistical probabilities for output accuracy and precision.
    Type: Application
    Filed: June 6, 2022
    Publication date: July 11, 2024
    Applicant: Government of the United States as Represented by the Secretary of the Air Force
    Inventors: Jonathan W. LUU, Kevin P. FENTON, Steve SIMSKE
  • Publication number: 20240135112
    Abstract: An apparatus for automated safety data sheet (SDS) processing that translates the entire SDSs from numerous chemical vendors, and in various formats (.pdf, .doc, .txt, .jpg, .gif, .png, etc) to machine-encoded text by employing optical, RFID, and infrared scanning, reading and writing devices. The apparatus reads and assess documents as a human would; ensuring that the documents are compliant, ensuring reported values are within expected thresholds, and that there are no conflicts in hazardous material classification, and comparing to similar products for more environmentally friendly alternatives. The apparatus further employs a processor that computes meta-algorithms as trainable neural networks that allow the invention to “learn” and appropriately classify values and calculate statistical probabilities for output accuracy and precision.
    Type: Application
    Filed: June 5, 2022
    Publication date: April 25, 2024
    Applicant: Government of the United States as Represented by the Secretary of the Air Force
    Inventors: Jonathan W. LUU, Kevin P. FENTON, Steve SIMSKE