OPTICAL INPUT METHOD AND OPTICAL VIRTUAL MOUSE UTILIZING THE SAME
    1.
    发明申请
    OPTICAL INPUT METHOD AND OPTICAL VIRTUAL MOUSE UTILIZING THE SAME 审中-公开
    光学输入法和光学虚拟鼠标使用它们

    公开(公告)号:US20160370880A1

    公开(公告)日:2016-12-22

    申请号:US14828831

    申请日:2015-08-18

    Abstract: An optical input method and an optical virtual mouse utilizing the same are provided. The optical input method, adopted by an optical virtual mouse, includes: emitting, by a light source, a first optical representation; generating, by an image sensor, a sense image which includes the first optical representation; determining, by a controller, a first distance between a first finger and the image sensor based on a first position of the first optical representation in the sense image; and determining, by the controller, a first displacement of the optical virtual mouse along a first direction according to the first distance.

    Abstract translation: 提供了一种光学输入方法和使用其的光学虚拟鼠标。 由光学虚拟鼠标采用的光学输入方法包括:通过光源发射第一光学表示; 通过图像传感器生成包括第一光学表示的感测图像; 基于感测图像中的第一光学表示的第一位置,由控制器确定第一手指和图像传感器之间的第一距离; 以及由所述控制器根据所述第一距离确定所述光学虚拟鼠标沿第一方向的第一位移。

    ORAL CAVITY SCANNING DEVICE AND METHOD

    公开(公告)号:US20220369935A1

    公开(公告)日:2022-11-24

    申请号:US17504808

    申请日:2021-10-19

    Abstract: An oral cavity scanning device is provided in the invention. The oral cavity scanning device includes an image capturing unit, an IMU circuit and a processing unit. The image capturing unit obtains a first image and a second image. The IMU circuit obtains IMU information corresponding to the first image and the second image. The processing unit obtains a distance value between the first image and the second image. The processing unit uses a contour algorithm to obtain a first contour and a second contour. The processing unit obtains first sampling points according to the first contour and second sampling points according to the second contour. The processing unit uses a feature algorithm to find relative feature points between the first sampling points and the second sampling points. The processing unit uses a depth information algorithm to obtain the depth information of each feature point.

    STRUCTURED LIGHT PROJECTION SYSTEM

    公开(公告)号:US20250020988A1

    公开(公告)日:2025-01-16

    申请号:US18460862

    申请日:2023-09-05

    Abstract: A structured light projection system is provided. The structured light projection system includes a condenser lens group, a light source, a mask, an imaging component, and a holder. The condenser lens group includes a first end and a second end. The light source is disposed on the first end of the condenser lens group. The light source emits a light. The imaging component projects the light passing through the mask onto a target element. The holder is disposed on the second end of the condenser lens group. The holder holds the mask and the imaging component. The light emitted by the light source sequentially passes through the condenser lens group, the mask, and the imaging component.

    INSECT-TRAPPING DEVICE AND ITS COUNTING METHOD

    公开(公告)号:US20210153492A1

    公开(公告)日:2021-05-27

    申请号:US16836531

    申请日:2020-03-31

    Abstract: An insect-trapping device includes a container, a funnel element, a photo interrupter and a controller. The container is formed with an inlet and an accommodation space connected to each other. The funnel element is with light-absorbed color, placed on the inlet, and inserts into the accommodation space. The photo interrupter is located within an inner passage of the funnel element for sensing whether at least one of insects passes through the inner passage from the inlet. The controller is electrically connected to the first photo interrupter for counting the insects passing through the inner passage according to the photo interrupter.

    FOG DISCRIMINATION METHOD AND OPTICAL APPARATUS

    公开(公告)号:US20240169503A1

    公开(公告)日:2024-05-23

    申请号:US18315018

    申请日:2023-05-10

    CPC classification number: G06T5/006 G06T5/50 G06T2207/20076

    Abstract: A fog discrimination method is disclosed, including a capturing step, a calculation step, and a determining step. The capturing step includes capturing a sub-image of an image. The sub-image includes a light shield body image and a light shield stripe image. The calculation step includes calculating a maximum average grayscale value and a minimum average grayscale value of the sub-image; and calculating a fog function. The fog function is a function of the maximum average grayscale value and the minimum average grayscale value. The determining step includes determining whether the fog function is greater than or less than a threshold; and determining as being fogged when the fog function is less than the threshold.

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