Abstract: A brightness control device for controlling light-emitting diodes (LEDs) during a video recording performed by an image sensor. The brightness control device includes a pulse width modulation (PWM) signal output unit and a brightness control signal generation unit. The signal output unit is configured to provide at least one PWM signal. The brightness control signal generation unit is configured to generate a brightness control signal according to an exposure signal of the image sensor and the at least one PWM signal.

Abstract: A method for obtaining a handwriting trajectory is provided. The method includes the following steps: capturing images of handwriting that is written with a writing brush on a piece of paper on a writing platform; obtaining positions where pixels in each of the images are lower than a threshold according to the threshold; and outputting handwriting images according to the positions.

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.

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.

Abstract: A method for obtaining a handwriting trajectory is provided. The method includes the following steps: capturing images of handwriting that is written with a writing brush on a piece of paper on a writing platform; obtaining positions where pixels in each of the images are lower than a threshold according to the threshold; and outputting handwriting images according to the positions.

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.

Abstract: An insect-trapping device includes a container, a funnel element, two photo interrupters and a controller. The container has an inlet and an accommodation space. The funnel element is placed on the inlet to extend into the accommodation space of the container. The photo interrupters are arranged within an inner passage of the funnel element along a long axis direction of the inner passage for sensing whether at least one insect passes through the inner passage from the inlet. The controller is electrically connected to the photo interrupters for counting the insects passing through the inner passage according to the photo interrupters.

Abstract: A recording device for injection device includes a housing, a viewing window, a photographic module, a light splitting element and a signal transmission device. The housing is removably mounted on a dose scale window of an injection device. The viewing window is formed on a surface of the housing, and a viewing path is formed from the viewing window to the dose scale window. The photographic module is located on the housing, and provided with an image-capturing optical axis which is perpendicular to the viewing path. The light splitting element is located at an intersection of the viewing path and the image-capturing optical axis for guiding information located in the dose scale window to the photographic module and the viewing window, respectively. The signal transmission device is electrically connected to the photographic module for transmitting signals of the photographic module to an external device.

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.

Abstract: A recording device for injection device includes a housing, a viewing window, a photographic module, a light splitting element and a signal transmission device. The housing is removably mounted on a dose scale window of an injection device. The viewing window is formed on a surface of the housing, and a viewing path is formed from the viewing window to the dose scale window. The photographic module is located on the housing, and provided with an image-capturing optical axis which is perpendicular to the viewing path. The light splitting element is located at an intersection of the viewing path and the image-capturing optical axis for guiding information located in the dose scale window to the photographic module and the viewing window, respectively. The signal transmission device is electrically connected to the photographic module for transmitting signals of the photographic module to an external device.

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: An optical fingerprint recognition device is provided. The optical fingerprint recognition device includes: an optical sensing surface; a first optical detection module having a first lens and a first optical sensor; and a second optical detection module having a second lens and a second optical sensor. The first optical detection module and the second optical detection module are arranged side by side in the optical fingerprint recognition device, and the first optical detection module and the second optical detection module are configured to capture a first fingerprint image and a second fingerprint image of a user's finger on a sensing area of the optical sensing surface for fingerprint recognition.

Abstract: An optical touch-control system is provided. The optical touch-control system includes a display unit; a light source; an image capturing unit, configured to capture a plurality of images reflected by the light emitted by the light source in front of the display unit; and a processor, wherein the processor determines whether a target object is located in an operating space in front of the display unit based on the captured images, wherein when the processor determines that the target object is in a touch zone of the operating space, the processor further determines that the target object is to perform a touch-control operation, wherein when the processor determines that the target object is in a gesture zone of the operating space, the processor further determines that the target object is to perform a gesture operation.

Abstract: A coordinate determining system is disclosed. The coordinate determining system comprises an image capturing module, a dividing module, a determining module, and a converting module. The image capturing module is used for capturing a plurality of images corresponding to the screen. The dividing module is used for dividing an overlapping image region of the images into a target image comprising a plurality of sub-regions. The determining module is used for determining a position of the indicating point on the target image. If the indicating point is in a target sub-region among the sub-regions and has an image coordinate relative to an original of the target sub-region, the converting module will convert the image coordinate into the screen coordinate according to a proportional parameter.

Abstract: A calibrating apparatus for an image processing apparatus is disclosed. The calibrating apparatus comprises a first operating module and a second operating module. The first operating module determines a third indicating point and a fourth indicating point according to a first indicating point, a second indicating point, and a specific point, and determines a calibration point (i.e. the predetermined position of a sensor) according to a first line through the first indicating point and third indicating point and a second line through the second indicating point and fourth indicating point. The second operating module forms reference lines according to reference points and the calibration point, forms reference angles according to the reference lines and a parallel line, generates reference coordinates of the reference points in an image and generates a calibration function according to the reference coordinates of the reference points and the reference angles.

Abstract: The invention provides an image processing apparatus for processing an interlaced video which includes a judging module, a determining module and a processing module. The judging module is used for judging if a pixel in the kth frame among P frames of the interlaced video relates to a moving object. If the result judged by the determining module is YES, the determining module determines one between two pixels adjacent to the judged pixel in the frame as an edge pixel relative to an edge of the moving object. The first processing module is used for calculating a gray scale of the edge pixel determined by the determining module in an average way.

Abstract: The invention discloses a noise reduction device for adjusting gray levels of a video sequence to reduce noises. The noise reduction device of the invention includes a motion detector and a first noise reduction module. The motion detector is used for determining whether an inputted pixel is a motion pixel or a static pixel. If the pixel is a motion pixel, the first noise reduction module directly outputs the pixel without adjustment. If the pixel is a static pixel, the first noise reduction module adjusts the gray level of the pixel according to previous image frame. Because the invention only stores previous image frame, and does not utilizes multiple continuous image frames to adjust the present image frame. Therefore, the display system of the invention needs only to be installed with one buffer, and hardware resource can be further saved.

Abstract: The invention provides a system for distinguishing multiple touch points. The system comprises a panel, a first image capturing unit, a second image capturing unit, at least one third image capturing unit, and a processing unit. N touch points are indicated on the panel. A first image and a second image related to the N touch points are captured by the first image capturing unit and the second image capturing unit. At least one third image related to the N touch points is captured by the at least one third image capturing unit. N sets of coordinates corresponding to the N touch points are calculated by the processing unit according to the first image and the second image. And, a set of real coordinates corresponding to the N touch points is determined from the N sets of coordinates according to the at least one third image.

Abstract: The invention discloses a light compensation method applied in an optical touch system. The optical touch system includes a light emitting diode, an optical detector, and a reflector. The light emitting diode is used to illuminate toward the reflector. The reflector has a pattern. The optical detector is used to sense the illuminated reflector. The light compensation method of the invention provides a light compensation solution for overly brightness or light decay of the light emitting diode due to usage over a long period in the optical touch system.

Abstract: A calibrating apparatus for an image processing apparatus is disclosed. The calibrating apparatus comprises a first operating module and a second operating module. The first operating module determines a third indicating point and a fourth indicating point according to a first indicating point, a second indicating point, and a specific point, and determines a calibration point (i.e. the predetermined position of a sensor) according to a first line through the first indicating point and third indicating point and a second line through the second indicating point and fourth indicating point. The second operating module forms reference lines according to reference points and the calibration point, forms reference angles according to the reference lines and a parallel line, generates reference coordinates of the reference points in an image and generates a calibration function according to the reference coordinates of the reference points and the reference angles.