Abstract: A wireless sound output device includes a wireless earbud and a charging base. The wireless earbud is placed in the charging base. If a true wireless stereo Bluetooth controller of the wireless earbud detects that a mode switching circuit of the charging base is switched to a wireless Bluetooth receiver mode, an analog signal is transmitted to an audio source output hole of the charging base through an audio source analog signal output switching unit of the wireless earbud.

Abstract: A wireless sound output device includes a wireless earbud and a charging base. The wireless earbud is placed in the charging base. If a true wireless stereo Bluetooth controller of the wireless earbud detects that a mode switching circuit of the charging base is switched to a wireless Bluetooth receiver mode, an analog signal is transmitted to an audio source output hole of the charging base through an audio source analog signal output switching unit of the wireless earbud.

Abstract: An externally-connected shop floor control (SFC) system comprising M shop floor control (SFC) devices is disclosed. By letting each of the M SFC devices be electrically connected between one test machine and one information read-out device, the SFC system is successfully implemented into a production line. Therefore, each of the M SFC devices is adopted to achieve a re-verification of pass record for a test object that is transferred from a previous-stage test machine, and is also adopted for collecting related test data of the test object transferred from a current-stage test machine. As such, the SFC system can be easily implemented into any one type of production line, so as to assist the manager of the production line in data collection, station passing control, manufacturing reports, and control of production efficiency and yield, without spending much cost of human resources and software/firmware developing.

Abstract: Disclosures of the present invention describe a method for calibrating laser power. During a laser power calibration of a laser optics product, reference intensity data and reference power data are adopted for generating a reference trend line with a R2 value that is equal to 1. As such, real intensity data that have a residual value smaller than a threshold value are adopted for generating a first trend line in combination with real power data. Moreover, the real intensity data that have a residual value greater than the threshold value are utilized for generating a second trend line in combination with corresponding real power data. Consequently, under an assistance of a predict trend line constituted by the first trend line and the second trend line, the laser power calibration is therefore completed after the laser optics product successively emits a laser beam by a few times.

Abstract: Disclosures of the present invention describe an independent inputting device with self-learning function. During a user inputting a vocabulary word and/or a sentence, this independent inputting device can forecast what vocabulary word is that the user desires to input in case of a number of inputted letters of the vocabulary word reaching a threshold integer (?N). Consequently, this independent inputting device automatically completes the inputting of those un-inputted letters of the vocabulary word, such that the user does no longer continue the inputting of those un-inputted letters of the vocabulary word. As such, when the user adopts one input method to edit a program code, write an article or a letter, or make statistical forms, inputting speed of the typed vocabulary words can be apparently increased by this independent inputting device, thereby largely enhancing the user's work efficiency.

Abstract: 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.

Abstract: An information management method for a testing network framework is provided. The testing network framework includes a first server and at least one computer. The method includes the following steps. Firstly, the at least one computer downloads and executes a test application program. Then, the at least one computer is connected to the first server, and provides a device identification code and a network address value of the at least one computer to the first server. If the first server judges that the corresponding device identification code complies with a first default condition and the corresponding network address value complies with a second default condition, the corresponding computer is authenticated, and a test setting information is provided from the first server to the corresponding computer. After the test setting information is downloaded to the corresponding computer, a test process is performed.

Abstract: 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.

Abstract: 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.

Abstract: A sensor testing system includes a standard unit and a test fixture. The standard unit and plural under-test sensors are placed on a test platform of the test fixture. A sensor testing method includes following steps. Firstly, the standard unit and the plural under-test sensors are arranged to generate a main process. Then, the standard unit and the plural under-test sensors are assigned to generate plural sub-threads according to the main process. When the main process is executed, the plural sub-threads are synchronously executed. Then, the test platform is enabled to create a motion in a first direction, and the main process waits for a predetermined time period. Then, the standard unit and the under-test sensors sense the motion in the first direction. When the sensing results are generated, the standard unit and the under-test sensors respond to the main process.

Abstract: An information management method for a testing network framework is provided. The testing network framework includes a first server and at least one computer. The method includes the following steps. Firstly, the at least one computer downloads and executes a test application program. Then, the at least one computer is connected to the first server, and provides a device identification code and a network address value of the at least one computer to the first server. If the first server judges that the corresponding device identification code complies with a first default condition and the corresponding network address value complies with a second default condition, the corresponding computer is authenticated, and a test setting information is provided from the first server to the corresponding computer. After the test setting information is downloaded to the corresponding computer, a test process is performed.