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1.发明申请公开(公告)号：US20250086993A1
公开(公告)日：2025-03-13
申请号：US18727473
申请日：2023-01-10
Inventor： Muhammad Jamal Afridi , Vahid Mirjalili , Sailaja Chandrapati , Subhalakshmi Meena Falknor , Kuangxiao Gu , Gautam Singh , Haley Saddoris , Hugh Eugene Watson , Neil Percy , Robert Koch
Abstract: An example system includes an image capture device configured to capture a sequence of images representative of a sample of microbial growth; and a processing unit having one or more processors, the one or more processors configured to pass the image data for the sequence of images through a machine learning model trained to generate one or more predicted future images of the microbial colony at a future time, the machine learning model trained using historical image data, the historical image data comprising a plurality of historical image data sets, each historical image data set of the historical image data sets comprising image data for a historical sequence of images of a corresponding historical microbial colony sample, wherein a prediction time interval between the future time and a capture time of a last image of the sequence of images is greater than each of the sampling time intervals.
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公开(公告)号：US11847661B2
公开(公告)日：2023-12-19
申请号：US16766118
申请日：2018-11-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Robert D. Lorentz , James B. Snyder , Golshan Golnari , Muhammad Jamal Afridi
IPC: G06Q30/00 , G06Q30/018 , G06T7/73 , G06F16/55 , G06F16/53 , G06N20/00 , G06F16/56 , G06N5/04 , G06T7/00 , G06F18/24 , G06F18/214 , G06V10/764 , G06V10/44 , G06V10/50 , G06V10/46
CPC classification number: G06Q30/0185 , G06F16/53 , G06F16/55 , G06F16/56 , G06F18/214 , G06F18/24 , G06N5/04 , G06N20/00 , G06T7/0004 , G06T7/73 , G06V10/449 , G06V10/50 , G06V10/764 , G06T2200/24 , G06T2207/30108 , G06V10/467
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.
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公开(公告)号：US11816946B2
公开(公告)日：2023-11-14
申请号：US17247773
申请日：2019-06-26
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Muhammad Jamal Afridi , Himanshu Nayar , Golshan Golnari
IPC: G07D7/206 , G06T7/00 , G06F18/22 , G06F18/214 , G06F18/2135 , G06F18/2411 , G06V10/82
CPC classification number: G07D7/206 , G06F18/214 , G06F18/2135 , G06F18/22 , G06F18/2411 , G06T7/0002 , G06V10/82 , G06T2200/24 , G06T2207/20081 , G06T2207/20084
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.
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公开(公告)号：US20210327041A1
公开(公告)日：2021-10-21
申请号：US17247773
申请日：2019-06-26
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Muhammad Jamal Afridi , Himanshu Nayar , Golshan Golnari
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.
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