Patents by Inventor Matthew Kahlscheuer

Matthew Kahlscheuer 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: 20240058832
    Abstract: A treatment system, including a conveyor bed configured to transport a plurality of products; a brushing device located along the conveyor bed and having one or more brushes that include a first antimicrobial compound; a surface treatment device including a lamp configured to emit light of a peak wavelength directed toward a portion of the conveyor bed; and a coating device configured to deliver a coating mixture onto the plurality of products on the conveyor bed.
    Type: Application
    Filed: September 26, 2023
    Publication date: February 22, 2024
    Inventors: Ronald C. Bakus, Matthew Kahlscheuer, Gregory Faust, Louis Perez, Anuj Purohit, Krishnan Chari, Benjamin Gordon, Nicholas Feringa, Doug Gotthard
  • Publication number: 20240062265
    Abstract: The disclosed technology provides for determining infection in food items using image data of the food items under ultra-violet (UV) light. A method includes performing object detection on the image data to identify a bounding box around each of the food items in the image data, determining, for each food item, an infection presence metric by applying a model to the bounding box, the model being trained using image training data of other food items under UV light, the image training data being annotated based on previous identifications of a first portion of the other food items having infection features and a second portion having healthy quality features, and determining, based on a determination that the infection presence metric for each of the food items indicates presence of an infection, an infection coverage metric for the food item.
    Type: Application
    Filed: November 1, 2023
    Publication date: February 22, 2024
    Inventors: Benjamin Gordon, Ohad Michel, Matthew Kahlscheuer, Benjamin Flores, Charles Frazier, Louis Perez
  • Patent number: 11847681
    Abstract: The disclosed technology provides for determining infection in food items using image data of the food items under ultra-violet (UV) light. A method includes performing object detection on the image data to identify a bounding box around each of the food items in the image data, determining, for each food item, an infection presence metric by applying a model to the bounding box, the model being trained using image training data of other food items under UV light, the image training data being annotated based on previous identifications of a first portion of the other food items having infection features and a second portion having healthy quality features, and determining, based on a determination that the infection presence metric for each of the food items indicates presence of an infection, an infection coverage metric for the food item.
    Type: Grant
    Filed: April 6, 2023
    Date of Patent: December 19, 2023
    Assignee: Apeel Technology, Inc.
    Inventors: Benjamin Gordon, Ohad Michel, Matthew Kahlscheuer, Benjamin Flores, Charles Frazier, Louis Perez
  • Patent number: 11813636
    Abstract: A treatment system, including a conveyor bed configured to transport a plurality of products; a brushing device located along the conveyor bed and having one or more brushes that include a first antimicrobial compound; a surface treatment device including a lamp configured to emit light of a peak wavelength directed toward a portion of the conveyor bed; and a coating device configured to deliver a coating mixture onto the plurality of products on the conveyor bed.
    Type: Grant
    Filed: March 16, 2022
    Date of Patent: November 14, 2023
    Assignee: Apeel Technology, Inc.
    Inventors: Ronald C. Bakus, Matthew Kahlscheuer, Gregory Faust, Louis Perez, Anuj Purohit, Krishnan Chari, Benjamin Gordon, Nicholas Feringa, Doug Gotthard
  • Publication number: 20230325899
    Abstract: The disclosed technology provides for determining infection in food items using image data of the food items under ultra-violet (UV) light. A method includes performing object detection on the image data to identify a bounding box around each of the food items in the image data, determining, for each food item, an infection presence metric by applying a model to the bounding box, the model being trained using image training data of other food items under UV light, the image training data being annotated based on previous identifications of a first portion of the other food items having infection features and a second portion having healthy quality features, and determining, based on a determination that the infection presence metric for each of the food items indicates presence of an infection, an infection coverage metric for the food item.
    Type: Application
    Filed: April 6, 2023
    Publication date: October 12, 2023
    Inventors: Benjamin Gordon, Ohad Michel, Matthew Kahlscheuer, Benjamin Flores, Charles Frazier, Louis Perez
  • Publication number: 20230292776
    Abstract: A produce treatment method to mitigate latent infections, such as fungal infections, and to delay ripening in produce is described. The produce treatment method includes providing an antimicrobial agent to an enclosure comprising a plurality of produce items, and contacting the plurality of produce items with the antimicrobial agent, wherein the antimicrobial agent is in gaseous form and is selected to deactivate latent microbes in the plurality of produce items.
    Type: Application
    Filed: March 21, 2023
    Publication date: September 21, 2023
    Inventors: Benjamin Gordon, Matthew Kahlscheuer, Charles Frazier, Jessica Sexton, Anthony Crisci
  • Publication number: 20230200405
    Abstract: Provided herein are compositions comprising one or more antimicrobial microorganism and methods of use thereof for inhibiting spoilage of agricultural products.
    Type: Application
    Filed: December 23, 2022
    Publication date: June 29, 2023
    Inventors: Matthew Kahlscheuer, Benjamin Gordon
  • Publication number: 20220330565
    Abstract: Presented are compositions that can be used as antimicrobial coatings or protective coatings for agricultural (e.g., food) products. The compositions can comprise one or more saturated glycerides selected from monoglycerides and diglycerides; one or more surfactants; and one or more food-safe antimicrobials. The antimicrobial coatings or protective coatings can be used to prevent or delay food spoilage due to, for instance, infection by a foreign pathogen, moisture loss, or oxidation.
    Type: Application
    Filed: April 8, 2022
    Publication date: October 20, 2022
    Inventors: Krishnan Chari, Stephen William Kaun, Matthew Kahlscheuer, Jessica Sexton, Taylor Person
  • Publication number: 20220297153
    Abstract: A treatment system, including a conveyor bed configured to transport a plurality of products; a brushing device located along the conveyor bed and having one or more brushes that include a first antimicrobial compound; a surface treatment device including a lamp configured to emit light of a peak wavelength directed toward a portion of the conveyor bed; and a coating device configured to deliver a coating mixture onto the plurality of products on the conveyor bed.
    Type: Application
    Filed: March 16, 2022
    Publication date: September 22, 2022
    Inventors: Ronald C. Bakus, Matthew Kahlscheuer, Gregory Faust, Louis Perez, Anuj Purohit, Krishnan Chari, Benjamin Gordon, Nicholas Feringa, Doug Gotthard
  • Publication number: 20220299493
    Abstract: Systems and methods are disclosed for determining a ripeness, firmness, or consumption suitability for food items, such as produce and fruit. The disclosure can provide for generating a machine learning model to detect food item ripeness. The model can be generated using destructive and non-destructive measurements of one or more food items. The model can then be applied to spectral imaging data of food items in real-time. The spectral imaging data can be captured by a point spectrometer. Using the model and spectral imaging data, the ripeness of the food items can be determined in a non-destructive manner. The determined ripeness of the food items can then be used to determine one or more supply chain modifications.
    Type: Application
    Filed: March 16, 2022
    Publication date: September 22, 2022
    Inventors: Richard Pattison, Matthew Kahlscheuer
  • Publication number: 20220132748
    Abstract: Disclosed herein are systems and methods for identifying pre-harvest latent infection in plants. In one aspect, a method can include operations of obtaining data describing a level of expression of one or more infection biomarkers present in a plant, encoding the obtained data into a data structure for input to a machine learning model, providing, by the one or more computers, encoded data structure as in input to the machine learning model that has been trained to generate output data indicating a likelihood that the plant has a latent infection based on processing the encoded data structure, obtaining the generated output data indicating a likelihood that the plant has a latent infection, determining based on the generated output data, that the plant has a latent infection, and performing one or more operations to mitigate the latent infection in the plant.
    Type: Application
    Filed: November 5, 2021
    Publication date: May 5, 2022
    Inventors: Cody Vild, Savannah Braden, Matthew Kahlscheuer, Louis Perez
  • Publication number: 20220028496
    Abstract: A method for predicting a likelihood of infection in a set of similarly sourced plant products is disclosed. A subset of plant products is selected from the set of plant products. For each plant product in the subset, a level of expression of one or more infection biomarkers, and optionally a level of expression of one more housekeeping biomarkers, are determined. A set of biomarker expression statistics for the subset of plant products is determined based on the determined levels of expression of the one or more infection biomarkers and optionally the levels of expression of the one or more housekeeping biomarkers for each plant product in the subset. A likelihood of infection in the set of plant products is then predicted based at least in part on the determined set of biomarker expression statistics for the subset of plant products.
    Type: Application
    Filed: October 12, 2021
    Publication date: January 27, 2022
    Inventors: Cody Vild, Savannah Braden, Matthew Kahlscheuer, Louis Perez
  • Patent number: 11170872
    Abstract: A method for predicting a likelihood of infection in a set of similarly sourced plant products is disclosed. A subset of plant products is selected from the set of plant products. For each plant product in the subset, a level of expression of one or more infection biomarkers, and optionally a level of expression of one more housekeeping biomarkers, are determined. A set of biomarker expression statistics for the subset of plant products is determined based on the determined levels of expression of the one or more infection biomarkers and optionally the levels of expression of the one or more housekeeping biomarkers for each plant product in the subset. A likelihood of infection in the set of plant products is then predicted based at least in part on the determined set of biomarker expression statistics for the subset of plant products.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: November 9, 2021
    Assignee: Apeel Technology, Inc.
    Inventors: Cody Vild, Savannah Braden, Matthew Kahlscheuer, Louis Perez
  • Publication number: 20210151127
    Abstract: A method for predicting a likelihood of infection in a set of similarly sourced plant products is disclosed. A subset of plant products is selected from the set of plant products. For each plant product in the subset, a level of expression of one or more infection biomarkers, and optionally a level of expression of one more housekeeping biomarkers, are determined. A set of biomarker expression statistics for the subset of plant products is determined based on the determined levels of expression of the one or more infection biomarkers and optionally the levels of expression of the one or more housekeeping biomarkers for each plant product in the subset. A likelihood of infection in the set of plant products is then predicted based at least in part on the determined set of biomarker expression statistics for the subset of plant products.
    Type: Application
    Filed: November 5, 2020
    Publication date: May 20, 2021
    Inventors: Cody Vild, Savannah Braden, Matthew Kahlscheuer, Louis Perez