IMAGING IOT PLATFORM UTILIZING FEDERATED LEARNING MECHANISM

    公开(公告)号:US20230101308A1

    公开(公告)日:2023-03-30

    申请号:US17490086

    申请日:2021-09-30

    Inventor: Jun Amano

    Abstract: A cloud server is connected to a plurality of edge devices via a network, and includes: a storage that stores a common machine learning (ML) model that is pretrained and used for optimizing image analysis; and a processor that repeatedly executes: distributing the common ML model to each of the edge devices that optimize the image analysis using local data and that modify the common ML model to create a locally optimized ML model, collecting a key parameter of an optimization result, without collecting the locally optimized ML model or accessing the local data, from each of the edge devices, and updating the common ML model stored in the storage by reflecting the key parameter in the common ML model at a predetermined timing to continuously improve the common ML model for more accurate image analysis.

    Method and system for authentication and anti-counterfeiting using coffee-ring effect

    公开(公告)号:US11386436B2

    公开(公告)日:2022-07-12

    申请号:US16836729

    申请日:2020-03-31

    Inventor: Jun Amano

    Abstract: A method and system providing an anti-counterfeiting label or mark, using ordinary inkjet printers, take advantage of a phenomenon called a coffee ring pattern, something that inkjet printers. Even the same inkjet printer can output different patterns under different conditions. As a result, the likelihood of reproduction of a particular printer's coffee ring pattern using another printer is so low as to be negligible. It is possible to capture images of the coffee rings using a smartphone camera. The coffee ring approach may be used on any labels or packages on which inkjet printing can be used.

    AUTONOMOUS POLYMER COMPOUNDING OPTIMIZATION

    公开(公告)号:US20210299930A1

    公开(公告)日:2021-09-30

    申请号:US16836309

    申请日:2020-03-31

    Abstract: A testing apparatus for obtaining mechanical properties of a polymer composite extruded from a nozzle of a compounding extruder includes a plurality of pairs of roller units that roll the polymer composite along a first direction. Each of the pairs of roller units includes a first roller unit and a second roller unit disposed such that a center of the first roller unit and a center of the second roller unit are separated by a predetermined distance in a second direction that is perpendicular to the first direction. The pairs of roller units are disposed along the first direction such that the predetermined distance of each of the pairs of roller units increases stepwise along the first direction. The pairs of roller units strain a vulnerable portion of the polymer composite in the second direction. The testing apparatus further includes a sensor that measures stress in the vulnerable portion.

    3D-PRINTED ARTICLE WITH TRANSITIONAL METASTRUCTURES

    公开(公告)号:US20210065671A1

    公开(公告)日:2021-03-04

    申请号:US16557464

    申请日:2019-08-30

    Inventor: Jun Amano

    Abstract: A single-step method of generating a three dimensional (3D) printed article includes: selecting a first metastructure and a second metastructure; designing and constructing a first transitional metastructure that transitions from the first metastructure to the second metastructure; depositing a first layer comprising the first metastructure; seamlessly connecting the first and first transitional metastructures by depositing a first transitional layer comprising the first transitional metastructure on the first layer; and seamlessly connecting the first transitional and second metastructures by depositing a second layer comprising the second metastructure on the first transitional layer.

    Integrated sensing system
    18.
    发明授权

    公开(公告)号:US11416734B2

    公开(公告)日:2022-08-16

    申请号:US16729817

    申请日:2019-12-30

    Inventor: Jun Amano

    Abstract: An integrated sensing system to perform multi-modality sensing of an environment. The integrated sensing system includes a first sensing element that generates a first modality sensing output of the environment, a first edge artificial intelligence (AI) engine that controls the first sensing element and generates a first data analysis result based on the first modality sensing output, a second sensing element that generates a second modality sensing output of the environment, a second edge AI engine that controls the second sensing element and generates a second data analysis result based on the second modality sensing output, and a computer processor that generates, using a central AI algorithm, a classification result of the environment based on the first data analysis result and the second data analysis result, where the computer processor is directly coupled to the first edge AI engine and the second edge AI engine.

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