Pixart Imaging Incorporated

Pixart Imaging (penang) Sdn. Bhd.

Joon Chok Lee

Zi Hao Tan

Kevin Len-Li Lim

Keen-Hun Leong

Sai Mun Lee

Wen-Han Yao

Willie Song

Yueh Mei Kim

Rizal Bin Jaffar

Ching Geak Chan

Kevin Len Li Lim

A pointing method, applied to a pointing device comprising a processing circuit, comprising: (a) receiving input delta by the processing circuit, wherein the input delta indicates supposed movement of the pointing device; (b) adjusting the input delta to generate output delta by the processing circuit, wherein the input delta has a first magnitude and the output delta has a second magnitude, wherein the second magnitude is smaller than or equal to the first magnitude; and (c) output the output delta by the processing circuit.

Pointing method and pointing device

A method of identifying a false alarm of an optical motion sensor including a plurality of pixel units, includes: receiving pixel values of a testing set of pixel units selected from the plurality of pixel units, and a number of pixels of the testing set is smaller than a number of the plurality of pixel units; and performing a background adjustment operation according to the pixel values of the testing set of pixel units.

Method and optical motion sensor capable of identifying false motion

A connected component analysis (CCA) method, which can use labels repeatedly, comprising: defining a label pattern comprising a label and a plurality of neighboring labels; setting a center label of a current pixel of a target binary image according to a binary value of the current pixel and the neighboring pixels; setting at least two of the neighboring labels according to whether the current pixel is in any one of a first row, a first column and a last column; and recording the center label to a label buffer. Labels for marking pixels of the target binary image are first center labels, and then are second center labels, and are the first center labels again after the labels are the second center labels.

Connected component analysis method which can reuse label

An optical sensing system comprising: a processing circuit; an optical sensor, configured to sense first optical data respectively in first sensing time intervals; and a TOF (Time of Flight) optical sensor, configured to sense second optical data respectively in second sensing time intervals. The processing circuit computes a distance between a first object and the optical sensing system according to the second optical data. The first sensing time intervals do not overlap with the second sensing time intervals.

Optical sensing system and optical sensing method

An object detection method of effectively increasing identification accuracy is applied to a camera apparatus and includes acquiring a reference image and a second reference image containing a specific surveillance area respectively via a first exposure parameter and a second exposure parameter greater than the first exposure parameter, utilizing the first exposure parameter and the second exposure parameter to respectively capture a first detection image and a second detection image during an object detection period, computing a first pixel value variation between the first reference image and the first detection image and a second pixel value variation between the second reference image and the second detection image, and comparing the first pixel value variation with the second pixel value variation to determine whether a target object is within the specific surveillance area.

Object detection method and camera apparatus

A security camera with a motion detection function, which comprises: an image sensor, configured to capture original images; a variation level computation circuit, configured to compute image variation levels of the original images; a long term computation circuit, configured to calculate a first average level for the image variation levels corresponding to M of the original images; a short term computation circuit, configured to calculate a second average level for the image variation levels corresponding to N of the original images, wherein M>N; and a motion determining circuit, configured to determine whether a motion of an object appears in a detection range of the image sensor according to a relation between the first average level and the second average level. By such security camera, the interference caused by noise or small object can be avoided. Accordingly, the motion detection of the security camera can be more accurate.

Security camera and motion detecting method for security camera

A computer readable recording medium storing at least one program, wherein an image pattern determining method for determining a stripe image can be performed when the program is executed. The image pattern determining method comprises: (a) classifying a single target image to a plurality of image blocks, wherein each of the image blocks comprises at least one pixel; (b) calculating pixel differences between pixel value sums of at least one of the image blocks and neighboring image blocks of the image block; (c) calculating image variation levels of each of the image blocks in a plurality of directions according to the pixel differences; and (d) determining whether the single target image comprises the strip image or not according to the image variation levels. An image pattern determining method for determining a check board image is also disclosed.

Computer readable recording medium which can perform image pattern determining method

A method of an optical sensor device includes: automatically entering a calibration mode to automatically define a region of interest as a masking region; and, selectively ignoring a motion detected within the masking region when the optical sensor device is in a normal operation mode.

Optical sensor device and calibration method capable of avoiding false motion alarm

A marker detecting device comprising: an image sensor, comprising a plurality of difference sensing regions; and a processing circuit, configured to determine a marker exists when a first difference of pixel value data of images captured by different ones of the difference sensing regions is larger than a marker difference threshold and to determine the marker does not exist when the first difference is smaller than the marker difference threshold.

Marker detecting device and optical tracking device

An optical navigation device for controlling an operation of a pointer on a display apparatus is provided, the optical navigation device includes a device body, a substrate, a light source, an image sensor, and a processing module. The light source, the image sensor, and the processing module are respectively disposed on the substrate. The device body has a housing with an accommodating space formed therein. The substrate is arranged in the accommodating space of the housing. The light source operatively generates a light illuminating a navigation surface of the optical navigation device through the opening of the housing. The image sensor is oriented at a preset angle with respect to a long axis of device body and is configured for capturing images of the navigation surface. The processing module generates a displacement information of the optical navigation device relative to the navigation surface according to the images captured.

Optical navigation device with enhanced tracking speed

A method for minimizing spurious motion of a mouse includes: determining whether the mouse enters a specific mode; and when the mouse is determined to enter the specific mode, generating a large correlation matrix by generating a standard size correlation matrix multiple times. The multiple standard size correlation matrices are offset with respect to each other so that an edge of each standard size correlation matrix touches at least an edge of another standard size correlation matrix to form the large correlation matrix. The specific mode is a skating mode wherein the mouse will move at high speed over a large area.

System and method for eliminating spurious motion of mouse

A method for selectively switching a frame rate of a mouse includes: setting a plurality of acceleration thresholds respectively corresponding to a plurality of frame rates at which the mouse is operated; operating the mouse at a first frame rate of the plurality of frame rates; determining a velocity of the mouse according to a difference between a first frame captured by the mouse at the first frame rate and a second frame following the first frame captured by the mouse at the first frame rate; determining an acceleration of the mouse between the first captured frame and second captured frame according to the velocity of the first frame, the velocity of the second frame, and the frame rate; comparing the acceleration with the plurality of thresholds; and directly switching the frame rate of the mouse to a frame rate which corresponds to the determined threshold.

Selective frame rate switching

A method for making a lower frame rate of an optical navigation sensor mimic a higher frame rate of the optical navigation sensor includes: receiving a motion delta of the optical navigation sensor at the lower frame rate; dividing the motion delta into a smaller number of parts; dividing a time period of the lower frame rate to generate a time threshold which is shorter than the time period of the lower frame rate; receiving a clock signal for updating a counter; and outputting a first part of the delta when the counter reaches the time threshold.

Sub-frame accumulation method and apparatus for keeping reporting errors of an optical navigation sensor consistent across all frame rates

A method for dynamically setting a scale for performing a cross-correlation check between a reference image and a comparison image of a mouse includes: setting a plurality of scale sizes for a cross-correlation check; providing a look up table (LUT) mapping the plurality of scale sizes to a plurality of overlapped areas of the reference image and comparison image and a plurality of predicted locations for the cross-correlation; determining a velocity of motion of the mouse, and using the determined velocity to generate a predicted location; inputting the predicted location to the LUT and mapping to a scale size; and performing the cross-correlation check according to the scale size.

Growing community of inventors

Penang, Malaysia

Joon Chok Lee