CAMERA MODULE TESTING METHOD
    1.
    发明申请

    公开(公告)号:US20200186789A1

    公开(公告)日:2020-06-11

    申请号:US16285630

    申请日:2019-02-26

    IPC分类号: H04N17/00 H04N5/225

    摘要: A camera module testing method is applied to a camera module including a camera lens and a photosensitive element. In a step (A), an original image is captured through the camera lens and the photosensitive element. In a step (B), the original image is converted into a gray scale image. In a step (C), the gray scale image is converted into a binary image according to a critical gray scale value. In a step (D), a boundary contour is obtained according to plural pixels of the binary image higher than or equal to the critical gray scale value. In a step (E), a contour center of the boundary contour is obtained. Then, a step (F) is performed to judge whether an optical axis of the camera lens is aligned with an imaging center of the photosensitive element according to the imaging center and the contour center.

    POWER CONSUMPTION TESTING SYSTEM AND POWER CONSUMPTION TESTING METHOD FOR WIRELESS MOUSE

    公开(公告)号:US20180164863A1

    公开(公告)日:2018-06-14

    申请号:US15464335

    申请日:2017-03-20

    摘要: The present invention provides a power consumption testing system and a power consumption testing method for a wireless mouse. The power consumption testing system includes: a platform; a flexible thin sheet; a first movable fixed component; a second movable fixed component; a vibration motor; and a processing apparatus. The first movable fixed component is configured to connect the flexible thin sheet and the platform. The second movable fixed component is configured to connect the wireless mouse to the flexible thin sheet or the platform. The vibration motor is connected to the flexible thin sheet and is configured to shake the flexible thin sheet so that the wireless mouse continuously moves on the flexible thin sheet. The processing apparatus is wirelessly connected to the wireless mouse and is configured to read and record a voltage value of the wireless mouse to determine a battery capacity of the wireless mouse.

    SOUND TESTING SYSTEM AND SOUND TESTING METHOD FOR EMBEDDED SYSTEM

    公开(公告)号:US20180184220A1

    公开(公告)日:2018-06-28

    申请号:US15461491

    申请日:2017-03-17

    IPC分类号: H04R29/00 H04R3/00

    摘要: The present invention provides a sound testing system and a sound testing method for an embedded system. The sound testing system includes: a silencing box, a sound receiving apparatus, and a processing apparatus. The embedded system and the sound receiving apparatus are provided in the silencing box; and the processing apparatus is configured to log in to the embedded system in a manner of remote connection, transmit at least one first sound file to the embedded system and control the embedded system to play the at least one first sound file to generate at least one first sound signal, and receive the at least one first sound signal by means of the sound receiving apparatus, and analyze the at least one first sound signal to verify sound output quality of the embedded system.

    Camera module testing method
    5.
    发明授权

    公开(公告)号:US10750068B2

    公开(公告)日:2020-08-18

    申请号:US16285630

    申请日:2019-02-26

    IPC分类号: H04N5/225 G02B7/00 H04N17/00

    摘要: A camera module testing method is applied to a camera module including a camera lens and a photosensitive element. In a step (A), an original image is captured through the camera lens and the photosensitive element. In a step (B), the original image is converted into a gray scale image. In a step (C), the gray scale image is converted into a binary image according to a critical gray scale value. In a step (D), a boundary contour is obtained according to plural pixels of the binary image higher than or equal to the critical gray scale value. In a step (E), a contour center of the boundary contour is obtained. Then, a step (F) is performed to judge whether an optical axis of the camera lens is aligned with an imaging center of the photosensitive element according to the imaging center and the contour center.

    HEAD MOUNTED DEVICE
    6.
    发明申请
    HEAD MOUNTED DEVICE 审中-公开

    公开(公告)号:US20190387825A1

    公开(公告)日:2019-12-26

    申请号:US16143454

    申请日:2018-09-27

    摘要: A head mounted device for a helmet includes a connection module, a flexible bracket, a power supply seat and a function module. While the flexible bracket is moved relative to the connection module, a position of the power supply seat relative to the helmet is adjusted. While the function module is moved relative to the power supply seat, an orientation of the function unit is adjusted.

    Electronic device test system and method thereof

    公开(公告)号:US10175280B2

    公开(公告)日:2019-01-08

    申请号:US15627131

    申请日:2017-06-19

    IPC分类号: G01R31/36 G01R31/02 G01R31/28

    摘要: An electronic device test system is configured to test functions of an electronic device. The electronic device test system includes: a test computer, configured to execute an electronic device test program; a scanning device, configured to scan a barcode number of the electronic device; and an optical sensor module, configured to detect a connection status of the electronic device and the test computer. When the optical sensor module confirms the connection status, the electronic device test program starts a test function to test the electronic device, records a test result of the electronic device according to the barcode number, and subsequently generates a retest rate according to the test result.

    PRODUCT TESTING SYSTEM WITH AUXILIARY JUDGING FUNCTION AND AUXILIARY TESTING METHOD APPLIED THERETO

    公开(公告)号:US20200019853A1

    公开(公告)日:2020-01-16

    申请号:US16192040

    申请日:2018-11-15

    摘要: A product testing system and an auxiliary testing method are provided. The product testing system includes a computer and a test fixture. The computer has a machine learning model. The auxiliary testing method includes the following steps. Firstly, the test fixture tests the plural under-test products sequentially, and generates corresponding test data to the computer. Then, the computer generates plural trend line graphs corresponding to the test data. Then, the operator determines corresponding human judging results according to the trend line graphs. The test data, the trend line graphs and the human judging results are inputted into the machine learning model, and a learning process is performed. If the number of samples reaches a predetermined threshold value, the machine learning model generates auxiliary judging results according to the corresponding test data and the corresponding trend line graphs.