Patents by Inventor Muhammad Jamal Afridi

Muhammad Jamal Afridi 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).

  • Image based counterfeit detection
    Patent number: 11847661
    Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm along with location and optional time information. The extracted features/information of a test sample are evaluated by the trained classification algorithm to identify the test sample. The results of the evaluation are used to track and locate counterfeits or authentic products.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: December 19, 2023
    Assignee: 3M Innovative Properties Company
    Inventors: Nicholas A. Asendorf, Jennifer F. Schumacher, Robert D. Lorentz, James B. Snyder, Golshan Golnari, Muhammad Jamal Afridi
  • Image based novelty detection of material samples
    Patent number: 11816946
    Abstract: Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: November 14, 2023
    Assignee: 3M Innovative Properties Company
    Inventors: Nicholas A. Asendorf, Jennifer F. Schumacher, Muhammad Jamal Afridi, Himanshu Nayar, Golshan Golnari
  • IMAGE BASED NOVELTY DETECTION OF MATERIAL SAMPLES
    Publication number: 20210327041
    Abstract: Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
    Type: Application
    Filed: June 26, 2019
    Publication date: October 21, 2021
    Inventors: Nicholas A. Asendorf, Jennifer F. Schumacher, Muhammad Jamal Afridi, Himanshu Nayar, Golshan Golnari
  • System and method for quantifying cell numbers in magnetic resonance imaging (MRI)
    Patent number: 11137462
    Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI).
    Type: Grant
    Filed: June 12, 2017
    Date of Patent: October 5, 2021
    Assignee: BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY
    Inventors: Erik Shapiro, Muhammad Jamal Afridi, Arun Ross, Xiaoming Liu
  • IMAGE BASED COUNTERFEIT DETECTION
    Publication number: 20200364513
    Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm along with location and optional time information. The extracted features/information of a test sample are evaluated by the trained classification algorithm to identify the test sample. The results of the evaluation are used to track and locate counterfeits or authentic products.
    Type: Application
    Filed: November 15, 2018
    Publication date: November 19, 2020
    Inventors: Nicholas A. Asendorf, Jennifer F. Schumacher, Robert D. Lorentz, James B. Snyder, Golshan Golnari, Muhammad Jamal Afridi
  • SYSTEM AND METHOD FOR QUANTIFYING CELL NUMBERS IN MAGNETIC RESONANCE IMAGING (MRI)
    Publication number: 20170356976
    Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI).
    Type: Application
    Filed: June 12, 2017
    Publication date: December 14, 2017
    Inventors: Erik Shapiro, Muhammad Jamal Afridi, Arun Ross, Xiaoming Liu