TELEHEALTH CARE SYSTEM
    1.
    发明申请
    TELEHEALTH CARE SYSTEM 审中-公开
    远程护理系统

    公开(公告)号:US20160259891A1

    公开(公告)日:2016-09-08

    申请号:US14734617

    申请日:2015-06-09

    CPC classification number: G16H10/60 G06F19/3418

    Abstract: A telehealth care system is configured to provide a first service, in which the first service includes a first operation and a second operation. The telehealth care system includes a first host terminal, first electronic devices, and a central data center. The first electronic devices are configured to correspond to the first host terminal. The central data center is connected to the first host terminal and the first electronic devices. The first electronic devices are configured to perform the first operation via the central data center, and to perform the second operation via the first host terminal. The data processed by the first operation has a first data attribute, the data processed by the second operation has a second data attribute that is different from the first data attribute.

    Abstract translation: 远程医疗保健系统被配置为提供第一服务,其中第一服务包括第一操作和第二操作。 远程医疗保健系统包括第一主机终端,第一电子设备和中央数据中心。 第一电子设备被配置为对应于第一主机终端。 中央数据中心连接到第一主机终端和第一电子设备。 第一电子设备被配置为经由中央数据中心执行第一操作,并且经由第一主机终端执行第二操作。 由第一操作处理的数据具有第一数据属性,由第二操作处理的数据具有与第一数据属性不同的第二数据属性。

    IMAGE POSITIONING DEVICE AND METHOD

    公开(公告)号:US20220366183A1

    公开(公告)日:2022-11-17

    申请号:US17389623

    申请日:2021-07-30

    Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.

    APPARATUS AND METHOD FOR PROCESSING THREE DIMENSIONAL IMAGE

    公开(公告)号:US20190228569A1

    公开(公告)日:2019-07-25

    申请号:US15962407

    申请日:2018-04-25

    Abstract: The present disclosure relates to a three-dimensional (3D) scanning apparatus and a 3D modeling method. The 3D scanning apparatus includes an image capture element and a processor. The image capture element is configured to capture multiple sets of images of an object. The processor is configured to obtain image information of a first set of image and image information of an Nth set of image of the captured images of the object, compare the image information of the first set of image and the image information of the Nth set of image to obtain corresponding information between the first set of image and the Nth set of image, and determine whether the corresponding information between the first set of image and the Nth set of image is greater than a threshold. If the corresponding information between the first set of image and the Nth set of image is greater than the threshold, the processor is configured to combine the first set of image and the Nth set of image. N is an integer greater than or equal to 2.

    METHOD AND DEVICE FOR TRAINING SEGMENTATION MODEL

    公开(公告)号:US20240355106A1

    公开(公告)日:2024-10-24

    申请号:US18519676

    申请日:2023-11-27

    CPC classification number: G06V10/82 G06V20/70

    Abstract: A method for training a segmentation model is provided. The method includes using first training images to train a segmentation model. The method includes using second training images to train an image generator. The method includes inputting real images into the segmentation model to generate predicted annotation images. The method includes inputting the predicted annotation images into the image generator to generate fake images. The method includes updating the segmentation model and the image generator according to a loss caused by differences between the real images and the fake images.

    IMAGE CLASSIFYING DEVICE AND METHOD
    5.
    发明公开

    公开(公告)号:US20230298316A1

    公开(公告)日:2023-09-21

    申请号:US17847739

    申请日:2022-06-23

    CPC classification number: G06V10/764 G06V10/40 G06V10/761 G06V10/762

    Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.

    INSULIN-DOSAGE DETECTION DEVICE
    6.
    发明申请

    公开(公告)号:US20210268199A1

    公开(公告)日:2021-09-02

    申请号:US17072208

    申请日:2020-10-16

    Abstract: An insulin-dosage detection device is arranged on a rotation member of an insulin injection pen having an injection button. The rotation variation of the rotation member corresponds to the injection dosage of the insulin injection pen. The insulin-dosage detection device has a circuit, a detection button, and a processor. The circuit, arranged on the rotation member of the insulin injection pen, outputs electronic signals in response to rotation of the rotation member. The detection button is connected to the injection button. The rotation member of the insulin injection pen rotates in response to the detection button and the injection button being pressed. The circuit rotates along with the rotation member. The processor, coupled to the circuit, calculates the rotation variation of the rotation member according to a first electronic signal and a second electronic signal respectively output from the circuit before and after the rotation of the circuit.

    BRIGHTNESS CONTROL DEVICE AND BRIGHTNESS CONTROL METHOD

    公开(公告)号:US20240284570A1

    公开(公告)日:2024-08-22

    申请号:US18299863

    申请日:2023-04-13

    CPC classification number: H05B45/325 H05B45/10

    Abstract: A brightness control device for controlling light-emitting diodes (LEDs) during a video recording performed by an image sensor. The brightness control device includes a pulse width modulation (PWM) signal output unit and a brightness control signal generation unit. The signal output unit is configured to provide at least one PWM signal. The brightness control signal generation unit is configured to generate a brightness control signal according to an exposure signal of the image sensor and the at least one PWM signal.

    DEVICE AND METHOD FOR DISTINGUISHING DENTAL PLAQUE FROM DENTAL CALCULUS

    公开(公告)号:US20230301751A1

    公开(公告)日:2023-09-28

    申请号:US17817409

    申请日:2022-08-04

    CPC classification number: A61C7/002 A61C19/04

    Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.

    TOOTH-POSITION RECOGNITION SYSTEM

    公开(公告)号:US20210074011A1

    公开(公告)日:2021-03-11

    申请号:US16707234

    申请日:2019-12-09

    Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

    METHOD AND DEVICE FOR DYNAMICALLY ADJUSTING FLUORESCENT IMAGING

    公开(公告)号:US20190350461A1

    公开(公告)日:2019-11-21

    申请号:US16157312

    申请日:2018-10-11

    Abstract: A method for dynamically adjusting fluorescent imaging is provided. The method is used in a device and includes the following steps: emitting, by a light emitting diode, light to illuminate teeth in an oral cavity, wherein the light is used to generate fluorescence from the teeth; filtering, by an optical filter, the fluorescence; receiving, by an image sensor, a signal and adjusting a gain value of an analog-to-digital converter according to the signal; converting, by the analog-to-digital converter, the filtered fluorescence into a digital signal and adjusting the digital signal according to the gain value; and generating, by a processor, an output image signal that corresponds to the gain value from the digital signal.

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