DEVICE FOR PERFORMING STRENGTHENING TREATMENT ON TOOTH ROOT OF GEAR

    公开(公告)号:US20180099327A1

    公开(公告)日:2018-04-12

    申请号:US15730957

    申请日:2017-10-12

    IPC分类号: B21D43/04 B21D22/02 B21D43/00

    摘要: A device for performing strengthening treatment on a tooth root of a gear, a punch driver, a tooth root strengthening treatment device and a punch moving device are provided according to the present application. The device for performing the strengthening treatment on the tooth root of the gear according to the present application can impact a tooth root of a gear to be processed continuously under the action of the punch driver, and has a high efficiency while having a stable effect. The device in the present application is not limited by a complicated geometrical shape and a narrow space of the tooth root. Thus, it may be known that the devices according to the present application can address the issue of a low efficiency and poor effect in a current shot peening technique during performing the strengthening treatment on the tooth root.

    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION
    3.
    发明申请
    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION 审中-公开
    检测异常情况的方法和装置

    公开(公告)号:US20170024874A1

    公开(公告)日:2017-01-26

    申请号:US15143718

    申请日:2016-05-02

    IPC分类号: G06T7/00 G06K9/00

    CPC分类号: G06K9/00771 G06K9/00389

    摘要: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.

    摘要翻译: 公开了一种用于检测异常情况的方法和装置。 该方法包括识别捕获图像中是否存在检测目标; 当所述检测目标存在时,基于所捕获的图像生成所述捕获图像中的所述检测目标的三维点云; 基于生成的三维点云获得检测对象的一个​​或多个当前姿态特征; 以及基于当前姿态特征和一个或多个预定姿势特征标准,确定是否存在异常情况,当检测目标执行多个异常动作时,基于一个或多个共同特征预先确定姿势特征标准。

    ARRAY SUBSTRATE AND A METHOD FOR FABRICATING THE SAME AND AN ELECTRONIC PAPER DISPLAY
    4.
    发明申请
    ARRAY SUBSTRATE AND A METHOD FOR FABRICATING THE SAME AND AN ELECTRONIC PAPER DISPLAY 审中-公开
    阵列基板及其制造方法和电子纸显示器

    公开(公告)号:US20120138972A1

    公开(公告)日:2012-06-07

    申请号:US13308752

    申请日:2011-12-01

    IPC分类号: H01L33/62

    摘要: The present disclosure discloses a method for fabricating an array substrate comprising: depositing a source/drain metallic film on a first base substrate, and forming a source electrode, a drain electrode and a data line; sequentially depositing a semiconductor layer film, a gate insulating layer film and a gate metallic film on the first base substrate, and forming a semiconductor layer, a gate insulating layer, a gate electrode and a gate line; depositing a gate protection layer film on the first base substrate, and forming a gate protection layer and a through hole, wherein the through hole is formed on the gate protection layer corresponding to the drain electrode to expose a portion of the drain electrode; and depositing a pixel electrode film on the first base substrate, and forming a pixel electrode, wherein the pixel electrode is connected to the drain electrode via the through hole.

    摘要翻译: 本公开公开了一种制造阵列基板的方法,包括:在第一基底基板上沉积源极/漏极金属膜,以及形成源电极,漏电极和数据线; 在第一基底基板上依次沉积半导体层膜,栅极绝缘层膜和栅极金属膜,以及形成半导体层,栅极绝缘层,栅电极和栅极线; 在所述第一基板上沉积栅极保护层膜,形成栅极保护层和通孔,其中所述通孔形成在与所述漏电极相对应的所述栅极保护层上以暴露所述漏极电极的一部分; 以及在所述第一基板上沉积像素电极膜,并且形成像素电极,其中所述像素电极经由所述通孔连接到所述漏电极。

    OBJECT TRACKING METHOD AND DEVICE
    5.
    发明申请
    OBJECT TRACKING METHOD AND DEVICE 有权
    对象跟踪方法和设备

    公开(公告)号:US20150206004A1

    公开(公告)日:2015-07-23

    申请号:US14600402

    申请日:2015-01-20

    IPC分类号: G06K9/00 G06K9/62 G06K9/46

    摘要: Disclosed is an object tracking method comprising steps of obtaining a grayscale image sequence and a depth image sequence; predicting a candidate target region of a tracking object in a current image; determining a depth weight image of the candidate target region; acquiring a target template which is expressed by a probability density distribution of features; expressing, by a probability density distribution of features, a candidate target whose position moves in the candidate target region; calculating, based on a probability density expression of the target template and a probability density expression of the candidate target, a similarity between the target template and the candidate target, so as to get a confidence level image of the candidate target region; and locating, based on the confidence level image of the candidate target region, a position of the tracking object in the current image.

    摘要翻译: 公开了一种物体跟踪方法,包括获得灰阶图像序列和深度图像序列的步骤; 预测当前图像中的跟踪对象的候选对象区域; 确定候选目标区域的深度权重图像; 获取由特征的概率密度分布表示的目标模板; 通过特征的概率密度分布来表达位置在候选目标区域中移动的候选目标; 基于目标模板的概率密度表达式和候选目标的概率密度表达式计算目标模板和候选目标之间的相似度,以获得候选目标区域的置信水平图像; 以及基于候选目标区域的置信度图像来定位跟踪对象在当前图像中的位置。

    OBJECT TRACKING METHOD AND DEVICE
    6.
    发明申请
    OBJECT TRACKING METHOD AND DEVICE 有权
    对象跟踪方法和设备

    公开(公告)号:US20150169956A1

    公开(公告)日:2015-06-18

    申请号:US14568223

    申请日:2014-12-12

    摘要: Disclosed is an object tracking method. The method includes steps of obtaining a first boundary region of a waiting-for-recognition object in the disparity map related to the current frame; calculating a probability of each valid pixel in the first boundary region so as to get a pixel probability map of the waiting-for-recognition object; obtaining historic tracking data of each tracked object, which includes identifier information of the tracked object and a pixel probability map related to each of one or more prior frame related disparity maps prior to the disparity map related to the current frame; determining identifier information of the waiting-for-recognition object, and updating the pixel probability map of the waiting-for-recognition object; and updating, based on the updated pixel probability map of the waiting-for-recognition object, the first boundary region of the waiting-for-recognition object, so as to get a second boundary region of the waiting-for-recognition object.

    摘要翻译: 公开了一种物体跟踪方法。 该方法包括以下步骤:获得与当前帧相关的视差图中等待识别对象的第一边界区域; 计算第一边界区域中的每个有效像素的概率,以获得等待识别对象的像素概率图; 获得每个跟踪对象的历史跟踪数据,其包括跟踪对象的标识符信息和与在与当前帧相关的视差图之前的一个或多个先前帧相关视差图中的每一个相关的像素概率图; 确定等待识别对象的标识符信息,以及更新等待识别对象的像素概率图; 以及基于等待识别对象的更新的像素概率图来更新等待识别对象的第一边界区域,以获得等待识别对象的第二边界区域。

    OBJECT DETECTION METHOD AND DEVICE
    8.
    发明申请
    OBJECT DETECTION METHOD AND DEVICE 有权
    对象检测方法和设备

    公开(公告)号:US20160019683A1

    公开(公告)日:2016-01-21

    申请号:US14797667

    申请日:2015-07-13

    IPC分类号: G06T7/00

    摘要: Disclosed is an object detection method used to detect an object in an image pair corresponding to a current frame. The image pair includes an original image of the current frame and a disparity map of the same current frame. The original image of the current frame includes at least one of a grayscale image and a color image of the current frame. The object detection method comprises steps of obtaining a first detection object detected in the disparity map of the current frame; acquiring an original detection object detected in the original image of the current frame; correcting, based on the original detection object, the first detection object so as to obtain a second detection object; and outputting the second detection object.

    摘要翻译: 公开了一种用于检测对应于当前帧的图像对中的对象的对象检测方法。 图像对包括当前帧的原始图像和相同当前帧的视差图。 当前帧的原始图像包括灰度图像和当前帧的彩色图像中的至少一个。 对象检测方法包括以下步骤:获得在当前帧的视差图中检测到的第一检测对象; 获取在当前帧的原始图像中检测到的原始检测对象; 基于原始检测对象来校正第一检测对象,以获得第二检测对象; 并输出第二检测对象。

    METHOD AND DEVICE FOR DETECTING DRIVABLE REGION OF ROAD
    10.
    发明申请
    METHOD AND DEVICE FOR DETECTING DRIVABLE REGION OF ROAD 有权
    用于检测道路驱动区域的方法和装置

    公开(公告)号:US20140086477A1

    公开(公告)日:2014-03-27

    申请号:US14034689

    申请日:2013-09-24

    IPC分类号: B60Q9/00 G06T7/00

    摘要: A method and a device are disclosed for detecting a drivable region of a road, the method comprising the steps of: deriving a disparity map from a gray-scale map including the road and detecting the road from the disparity map; removing a part with a height above the road greater than a predetermined height threshold from the disparity map so as to generate a sub-disparity map; converting the sub-disparity map into a U-disparity map; detecting the drivable region from the U-disparity map; and converting the drivable region detected from the U-disparity map into the drivable region within the gray-scale map.

    摘要翻译: 公开了一种用于检测道路的可驱动区域的方法和装置,所述方法包括以下步骤:从包括所述道路的灰度图并从所述视差图检测道路导出视差图; 从视差图中移除高于道路高度的部分大于预定高度阈值,以便生成子视差图; 将子视差图转换为U-视差图; 从U-视差图检测可驱动区域; 以及将从U视差图检测到的可驱动区域转换为灰度图内的可驱动区域。