AN UNMANNED AUTONOMOUS VEHICLE AND METHOD FOR CONTROLLING THE SAME

    公开(公告)号:US20230221721A1

    公开(公告)日:2023-07-13

    申请号:US17997645

    申请日:2021-05-07

    Inventor: Ryuhei Konno

    CPC classification number: G05D1/0094 B64U10/14 B64U2101/30

    Abstract: An unmanned autonomous vehicle is provided and includes at least one propulsion device, at least one image capture device, at least one adjusting member to adjust an tilt angle of the image capture device and is configured to receive, from a control device, a capturing instruction to capture at least one image, acquire angle information indicating a tilt angle of the image capture device, and control, in a case where the capturing instruction is received, the propulsion device so that the image capture device captures at least one image at an altitude which is determined based on the acquired angle information.

    Connector or bayonet style connector and methods for incorporating or using connector

    公开(公告)号:US11682859B2

    公开(公告)日:2023-06-20

    申请号:US17161439

    申请日:2021-01-28

    Abstract: A connector, a bayonet-style connector, and methods for using the connector or bayonet-style connector are provided. At least one connector includes a receiver having an inner volume to receive a connector, and having a pawl; and a pushbutton or actuator that operates to move or unlock the pawl so that a user can insert and lock and/or unlock and remove the connector using only a single hand of the user. At least one bayonet-style connector includes a connector portion having an opening; a receptacle portion that operates to slidingly accept the connector portion and that has a pawl that operates to engage with the opening to lock the connector portion in place; and an actuator that operates to impart force on the pawl to unlock the connector portion so that a user can remove the connector portion using only one hand of the user.

    DEVICES, SYSTEMS, AND METHODS FOR DISPLAYING STENOSIS MEASUREMENTS AND CALCULATIONS

    公开(公告)号:US20230130046A1

    公开(公告)日:2023-04-27

    申请号:US17512503

    申请日:2021-10-27

    Abstract: Devices, systems, and methods calculate a first stenosis measurement of a measured location in a lumen based on optical-imaging data of the lumen, on the measured location in the lumen, and on a first reference location in the lumen; and generate a screen that includes a tomographic view of the lumen, a longitudinal view of the lumen, and the first stenosis measurement, wherein the tomographic view of the lumen and the longitudinal view of the lumen are based on the optical-imaging data of the lumen, wherein the tomographic view includes a tomographic-view measured-location indicator that indicates the measured location in the lumen and a first tomographic-view reference indicator that indicates the first reference location in the lumen, and wherein the longitudinal view includes a longitudinal-view measured-location indicator that indicates the measured location in the lumen and a first longitudinal-view reference indicator that indicates the first reference location in the lumen.

    ARTIFACT REMOVAL FROM MULTIMODALITY OCT IMAGES

    公开(公告)号:US20230115191A1

    公开(公告)日:2023-04-13

    申请号:US17500583

    申请日:2021-10-13

    Abstract: Embodiments disclosed herein provide systems, methods and/or computer-readable media for automatically detecting and removing fluorescence artifacts from catheter-based multimodality OCT-NIRAF images. In one embodiment, a process of determining an automatic threshold value (automatic thresholding) is implemented by sorting characteristic parameter values of the NIRAF signal and finding a maximum perpendicular distance between a curve of the sorted values and a straight line from the highest to the lowest sorted value, combined with the use of unsupervised machine learning classification techniques to detect the frame's NIRAF values that correspond to signal artifacts. Once the signal artifacts are detected, the system can filter out the signal artifacts, correct the frames that had artifacts, and produce a more accurate multimodality image.

    Polarization control module employing hollow shaft motor

    公开(公告)号:US11609381B2

    公开(公告)日:2023-03-21

    申请号:US17378128

    申请日:2021-07-16

    Abstract: A fiber optics polarization controller comprises: an optical fiber and multiple polarization stages. A first stage comprises: a motor having a hollow shaft spanning from a proximal end to a distal end along a rotational axis; and a fiber paddle affixed to and adapted to rotate with the hollow shaft. The fiber paddle has a ring-shaped body with two openings arranged opposite to each other around the ring-shaped body. A first opening of the fiber paddle is connected to the distal end of the hallow shaft substantially collinear with the rotational axis of the motor. The optical fiber is arranged spanning through the hollow shaft, entering the fiber paddle through the first opening, following around the ring-shaped body to form a fiber loop, and exiting the ring-shaped body through the second opening. A second stage is arranged in series with the first stage.

    Detecting and displaying stent expansion

    公开(公告)号:US11571129B2

    公开(公告)日:2023-02-07

    申请号:US16148421

    申请日:2018-10-01

    Abstract: A method for processing an intravascular image including a plurality of image frames acquired during a pullback of an imaging catheter inserted into a vessel, the method including displaying on a graphical user interface (GUI) an image including detected results of lumen borders and at least one stent, the image including an evaluated stent expansion and an evaluated stent apposition determined from the intravascular image. The method also includes determining whether a modification to the detected results of the stent has been received by the GUI. Then, re-evaluating stent length, stent expansion and stent apposition when it is determined that the detected results of the stent has been modified via the GUI and displaying the re-evaluated stent expansion and the re-evaluated stent apposition on the GUI.

    Polarization Control Module Employing Hollow Shaft Motor

    公开(公告)号:US20230015126A1

    公开(公告)日:2023-01-19

    申请号:US17378128

    申请日:2021-07-16

    Abstract: A fiber optics polarization controller comprises: an optical fiber and multiple polarization stages. A first stage comprises: a motor having a hollow shaft spanning from a proximal end to a distal end along a rotational axis; and a fiber paddle affixed to and adapted to rotate with the hollow shaft. The fiber paddle has a ring-shaped body with two openings arranged opposite to each other around the ring-shaped body. A first opening of the fiber paddle is connected to the distal end of the hallow shaft substantially collinear with the rotational axis of the motor. The optical fiber is arranged spanning through the hollow shaft, entering the fiber paddle through the first opening, following around the ring-shaped body to form a fiber loop, and exiting the ring-shaped body through the second opening. A second stage is arranged in series with the first stage.

    CONVEYOR DEVICE FOR MOVING MOLDS
    238.
    发明申请

    公开(公告)号:US20220402182A1

    公开(公告)日:2022-12-22

    申请号:US17833701

    申请日:2022-06-06

    Abstract: An injection molding system including an injection molding machine including at least one opening on each of a first side surface and a second side surface for conveying at least one mold, wherein the improvement to the injection molding system includes at least one actuator for conveying at least three different molds through at least one of the at least one openings, and at least one guiding element for guiding at least one cable connected to a first mold located between at least two other molds to a location external to the injection molding machine via an opening of the injection molding machine.

    ARTIFICIAL INTELLIGENCE COREGISTRATION AND MARKER DETECTION, INCLUDING MACHINE LEARNING AND USING RESULTS THEREOF

    公开(公告)号:US20220346885A1

    公开(公告)日:2022-11-03

    申请号:US17761561

    申请日:2020-09-18

    Abstract: One or more devices, systems, methods, and storage mediums using artificial intelligence application(s) using an apparatus or system that uses and/or controls one or more imaging modalities, such as, but not limited to, angiography, Optical Coherence Tomography (OCT), Multi-modality OCT, near-infrared fluorescence (NIRAF), OCT-NIRAF, etc. are provided herein. Examples of AI applications discussed herein, include, but are not limited to, using one or more of: AI coregistration, AI marker detection, deep or machine learning, computer vision or image recognition task(s), keypoint detection, feature extraction, model training, input data preparation techniques, input mapping to the model, post-processing, and/or interpretation of output data, one or more types of machine learning models (including, but not limited to, segmentation, regression, combining or repeating regression and/or segmentation), marker detection success rates, and/or coregistration success rates to improve or optimize marker detection and/or coregistration.

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