Hon Hai Precision Industry Co., Ltd.

Hong-fu Jin Precision Industry (shenzhen) Co., Ltd.

Fu Tai Hua Industry (shenzhen) Co., Ltd.

Scienbizip Consulting(shenzhen)co., Ltd.

Hong Fu Jin Precision Ind. (shenzhen) Co., Ltd.

Shenzhen Airdrawing Technology Service Co., Ltd

Zijilai Innovative Services Co., Ltd.

Apex Medical Corporation

Hong Fu Precision Industry (shenzhen) Co., Ltd.

Hong Fu Jin Precision Industry Co., Ltd.

Wellell Inc.

Chih-Kuang Chang

Xin-Yuan Wu

Li Jiang

Zhong-Kui Yuan

Dong-Hai Li

Xiao-Guang Xue

Min Wang

Xian-Yi Chen

Xiao-Chao Sun

Zhi-Jun Zou

Yi-Rong Hong

Hua-Wei Yang

Peng Xie

Hua Yin Huang

Jian-Hua Liu

Lu Yang

Yong-Hong Ding

Yan-Li Li

Yi Liu

Jin-Gang Rao

Zheng-Cai She

Qian Wang

Sen Zhang

Jun-Hua Li

Jie-Rong Chen

Zhi-Hui Luo

Wei-Quan Wu

Gen Yang

Dong-Sheng Liu

Yu-Hua Xu

Wen-Dong Liu

Jia-Jia Chen

Shao-Qin Xie

Jun-Song Xu

Xiao-Dan Tang

Wei-Qi Sun

Hui Zhang

Yu Jin

Na Yu

Sheng-Wei Lin

Jin-Bo Hu

Shan-Yang Fu

Bing-Gen Yang

Sheng-Qiang Shen

Li-Hua Chen

Deam Wu

Hsin-Pei Chang

Fei Wang

Chung-Yi Lin

Heng Zhang

Pei Wang

Yi-Ling Liu

Ming-Heng Hsieh

Wen-Bin Shen

Min-Jun Huang

Hong-Hong Jia

Yue-Yin Chao

Chin-Chang Lin

Yu-Hao Chen

David Huang

Bo Nie

Hua-Hui Tang

Wei-Wen Wu

Xiao-Long Chen

Run-Hui Wu

Zheng-Zhi Zhang

Ju-Chien Cheng

Wen-Duan Hu

Jing-Jie Shen

Fu-Wei Chen

Xi-Liang Feng

Jin-Kui Zeng

Yu-hao Chen

Yen-Chieh Chen

Wen-Ching Wen-Ching Cheng

Po-Han Wei

Provided are an air cell device and an air mattress system thereof. The air cell device includes an air cell which has therein an upper connection segment and a lower connection segment. The upper connection segment and the lower connection segment each have a curved portion whereby the air cell is partitioned to become a multilayered air cell so as to mitigate air cell bending or air cell inversion, thereby improving the lying human being's comfort.

Air cell device and air mattress system thereof

An inflation identification connector and an air mattress system having the same is provided. The inflation identification connector is insertable into a connection seat of a gas delivery host. The connection seat has a light detection component coupled to a controller disposed in the gas delivery host. The inflation identification connector includes a body and an identification structure. The detection result of the light detection component depends on the identification structure and thus is conducive to identification. Upon its insertion into the connection seat, the inflation identification connector is identified by the gas delivery host, enhancing ease of use and protecting manual operation against mistakes. The gas delivery host is not only applicable to different types of air mattresses but also conducive to streamlined management of the air mattress system and reduction of management costs and risks.

Inflation identification connector and air mattress system having same

A light-emitting structure includes a base, a light-emitting assembly arranged on the base, a cover configured to be covered over the light-emitting assembly, and a coupling member configured to couple the cover to the base. The light-emitting assembly emits light onto a workpiece to be inspected by an image inspection device. The light-emitting assembly is circular, and a lens of the image inspection device is rotationally coupled to the base.

Light-emitting structure

A computing device and a method processes a point cloud of an object. The computing device constructs a curved surface according to the point cloud and triangulates the curved surface using a plurality of triangles. The computing device simulates each marked adjacent point and neighborhood points to a predetermined surface using a predetermined algorithm. The computing device projects each marked adjacent point onto a predetermined surface to obtain a projected point according to the type of the marked adjacent point.

Computing device and method for processing point clouds

In a method for simplifying point clouds of an object using a computing device, a point cloud of the object is obtained from a scanning device connected to the computing device, and the point cloud is meshed into triangulated grids. The triangulated grids are selected from the point cloud, and a number of simplification passes to simplify the triangulated grids is received from an input device. The triangulated grids of triangles are classified according to a shape of each grid and a location of each grid in the point cloud. Each type of triangulated grid is simplified to obtain simplified grids by performing a loop triangular grid function with the number of simplification passes. The simplified grids are smoothed and the cloud model of the object can be displayed.

Computing device and method for simplifying point cloud of object

A method for simplifying a mesh point cloud includes following steps: obtaining a point cloud and meshing the point cloud so that the point cloud is formed with a plurality of triangular grids; calculating a distance between a vertex of the triangular grid and its corresponding normal plane to determine an influence of the vertex to a geometric characteristic of the mesh point cloud; deleting the vertexes and the grids in connection therewith in accordance with a predetermined degree of simplification, wherein the deleted vertexes are those which have less influence to the geometric characteristic of the mesh point cloud; creating triangular grids to fill the void part in accordance with Delaunay triangulation; and smoothening the created grids.

System and method for simplifying a mesh point cloud

A computing device and a method detect a lightness of a lighting device. The computing device captures an image of the lighting device and parses the image to obtain a pixel gray value of each lighting dot of the lighting device. The computing device obtains detection information of the lighting device according to the pixel gray value of each lighting dot of the lighting device. The computing device generates a detection report of the lighting device according to the detection information of the lighting device.

Computing device and method for detecting lightness of lighting device

A computing device simulates a process of processing an object. The computing device calculates a moving space when a minimum bounding box of a model of a blade moves from a position point to an obtained path point. The computing device cuts a triangulated model of the object when the triangulated model of the object intersects the moving space.

Computing device and simulation method for processing an object

A light-emitting structure includes two outer shells configured to be joined together to cooperatively define a receiving space therein, a connecting assembly configured to join the two outer shells together, and two light-emitting assemblies coupled to the connecting assembly and configured to emit light inside the receiving space. The two outer shells define a number of viewing holes therein for viewing inside the receiving space. The light-emitting assemblies shine light from a number of different angles inside the receiving space.

Spherical light-emitting structure for inspecting workpiece

In a production accuracy verification method to verify a production program installed in a computer numerical control (CNC) machine, wherein the production program is used to produce a product, coordinates of points on an ideal processing path of the production program are obtained to fit a first curve. A CAD model of the product is obtained, and outlines of the product are extracted in the CAD model. A normal vector of each of the outlines is computed and to be adjusted, making the normal vectors of the outlines pointing to a same direction. First distances between points in the first curve and corresponding points in the second curve are computed, and whether the production program is accurate can be determined by comparing whether each of the first distances is within a first predetermined tolerance.

Device and method for verifying CNC production accuracy

A computing device connects with a measurement machine. The measurement machine includes a raster ruler and a measurement unit. The computing device reads environmental temperatures from a temperature sensor. Compensation coefficients of the standard workpiece and compensation coefficients of the raster ruler are calculated. The computing device calculates total compensation coefficients of the standard workpiece and the raster ruler. When the measurement machine measures an object workpiece, the computing device calculates a total error of the object workpiece according to the total compensation coefficients of the standard workpiece and the total compensation coefficients of the raster ruler. Coordinates of the object workpiece are calculated according to the total error and mechanism coordinates of each axis of the measurement machine.

System and method for temperature compensation of measurement machine

A computing device compensates a coordinate of a position device for a computerized numerical control (CNC) machine. The computing device generates a point cloud according to contour points of the position device. The computing device deletes selected contour points from the point cloud upon the condition that the distance corresponding to each selected contour point exceeds a predetermined threshold. The computing device calculates an average coordinate of the contour points which are remained in the point cloud.

Computing device and method for compensating coordinates of position device

A method for patching up a point cloud comprises obtaining a point cloud and a predetermined interval and a filtering parameter of curvature. Then a void in the point cloud which needs to be patched up is identified. A minimum encasing box is created to enclose the void. Points inside the minimum encasing box and outside the void are selected to create a B-spline curve surface. The B-spline curve surface are interpolated by the predetermined interval to obtain a plurality of discrete points which are used to patch up the void. Messy points in the void according to the predetermined interval and the filtering parameter of curvature are determined and deleted. Positions of the points in the void are adjusted along their normal vector directions to smooth the point cloud.

Method and system for patching up a point cloud of an object

In a focus identification method for identifying different focuses of an object, discrete image data is acquired from captured images of an object. The images are captured by a charge coupled device (CCD) in motion of a measurement machine at a predetermined time period. The discrete image data includes definitions of the images and Z-coordinates of the CCD when capturing the images. Maxima and minima of the discrete image data are computed to establish intervals within the discrete image data. The intervals are selected one by one, and a curve is fitted according to the discrete image data at the selected interval. A peak value of the fitted curve is computed as one of focuses of the object when a goodness of fit of the fitted curve meets a predetermined criterion.

Focus identification method, system, and computing device

A measuring machine includes a measuring device and a protective cover covering the measuring device. The measuring device is configured to measure parameters of a work piece. The measuring device includes a control box, a supporting board, a light ring configured to illuminate the work piece, and a camera module configured to obtain images of the work piece. The cover is made of non-transparent material. A first side of the cover defines a cut-out and a first slot. A second side of the cover opposite to the first side defines a second slot corresponding in size and alignment with the first slot. One side of the control box is exposed from the cut. Two ends of the supporting board are positioned on the first and second slots and exposed from the first and second slots.

Measuring machine having a protective cover

Growing community of inventors

Taipei, Taiwan

Chih-Kuang Chang