Pixart Imaging Incorporated

Keen-Hun Leong

Boon-How Kok

Ching-Geak Chan

Dennis Dominic Donald

Joon Chok Lee

Tong-Sen Liew

Yueh Mei Kim

Yen-Min Chang

Hsin-Chia Chen

Sai Mun Lee

Zi Hao Tan

Chu-Leik Ho

Ching Geak Chan

Chiang-Hee Lim

Kevin Len-Li Lim

Sai-Mun Lee

Sung-Han Wu

Wooi Kip Lim

Keng Yeen Lye

Kei Tee Tiew

Kheng Jin Ooi

There is provided a mobile robot including a light source, an image sensor and a processor. The image sensor respectively captures bright image frames and dark image frames corresponding to the light source being turned on and turned off. The processor identifies that the mobile robot faces a cliff when a gray level variation between the bright image frames and the dark image frames is very small, and controls the mobile robot to stop moving forward continuously.

Mobile robot and cliff detection method thereof

An optical sensor system for determining trajectory of a wheel includes: a wheel mounted in a wheel arch having an outer surface covered with evenly-spaced wheel treads; an optical sensor mounted in the wheel arch but not touching the wheel, for performing a plurality of counts corresponding to respectively capturing a plurality of images of the wheel according to the wheel treads, and comparing the captured images with a reference image to determine a 2D displacement. The optical sensor further performs a calculation to convert the measured 2D displacement of the wheel from its original position into a distance the wheel travels along a path in order to determine the wheel trajectory.

Optical sensor for odometry tracking to determine trajectory of a wheel

An optical navigation method, applied to an optical navigation device, comprising: (a) recording a first motion prediction of the optical navigation device; (b) determining if a surface which the optical navigation device is moving on is trackable; and (c) loading the first motion prediction recorded in the step (a) if the surface is non-trackable and then becomes trackable.

Optical navigation method and optical navigation device

There is provided an optical positioning system including a detected surface, an optical sensor, a register and a processor. The detected surface has interleaved bright regions and dark regions arranged in a transverse direction. The optical sensor captures an image frame of the detected surface within a field of view thereof and using a shutter time, wherein the detected surface and the optical sensor have a relative movement in the transverse direction. The register records a type of a last passed edge. The processor calculates a first position using a first algorithm upon the recorded last passed edge being a bright-to-dark edge and the field of view being aligned with one of the dark regions, and calculates a second position using a second algorithm, different from the first algorithm, upon the recorded last passed edge being a dark-to-bright edge and the field of view being aligned with the same one of the dark regions.

Optical positioning system determining positions based on last passed edge

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 system and method includes: an optical image sensor arranged to perform the following steps: capturing a calibration image during a calibration stage, dividing the calibration image into a plurality of quadrants, and calculating a parameter for each of the quadrants; capturing a plurality of raw images during a detection stage, dividing each image of the raw images into a plurality of quadrants, and calculating a parameter for each of the quadrants; comparing the respective parameters of each quadrant of a raw image with the respective parameters of each quadrant of the calibration image to generate a ratio value for each quadrant; and comparing the ratio value of each quadrant with a predetermined threshold. When each ratio value of specific quadrants of the quadrants is greater than the predetermined threshold, object detection is confirmed.

Object presence detection using raw images

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

An optical sensor system mounted in a wheel arch of a car for determining trajectory of the car includes: a first optical sensor mounted in the wheel arch above a wheel and located behind a first clear casing that does not touch the wheel; and a second optical sensor mounted in the wheel arch on one side of the wheel and located behind a second clear casing that does not touch the wheel. The first optical sensor and second optical sensor perform a plurality of counts corresponding to respectively capturing a plurality of images of the wheel. The captured images are compared with a reference image to determine a 2D displacement of the wheel from its original position. The trajectory of the car is determined by calculating a turning degree of the wheel according to a trigonometric manipulation of the measured 2D displacement.

There is provided an operating method of an optical positioning system including: capturing an image frame of a detected surface, which has interleaved bright regions and dark regions, using a field of view and a shutter time of an optical sensor; counting a number of edge pairs between the bright regions and the dark regions that the field of view passes; calculating an average value of the image frame; calculating a ratio between the calculated average value and the shutter time; determining that the field of view is aligned with one of the dark regions when the ratio is smaller than a ratio threshold; and determining that the field of view is aligned with one of the bright regions when the ratio is larger than the ratio threshold.

Optical positioning system having high resolution

an optical sensing system comprising: a processing circuit; a first calibration optical sensor, comprising a first sensor edge and a second sensor edge opposite to the first sensor edge; and a second calibration optical sensor, away from the first calibration optical sensor for a first distance, comprising a third sensor edge and a fourth sensor edge opposite to the third sensor edge. The processing circuit determines a target object has moved for a target distance if an object pattern of the target object moves from a first location in the first calibration sensor to a second location in the second calibration sensor, wherein a first sum of a second distance which is between the first location and the first sensor edge and a third distance between the second location and the third sensor edge equals to a reference distance.

Optical sensing system and optical navigation system

There is provided an operating method of an optical positioning system including: capturing an image frame of a detected surface, which has interleaved bright regions and dark regions, using a field of view and a shutter time of an optical sensor counting a number of edge pairs between the bright regions and the dark regions that the field of view passes; calculating an average value of the image frame; calculating a ratio between the calculated average value and the shutter time; determining that the field of view is aligned with one of the dark regions when the ratio is smaller than a ratio threshold; and determining that the field of view is aligned with one of the bright regions when the ratio is larger than the ratio threshold.

Optical positioning system and operating method thereof

An optical detecting device with a tracking function includes an image acquiring module and a processor. The image acquiring module is grouped into a first cluster and a second cluster of pixels. The first cluster and the second cluster are arranged adjacent to each other, and used to respectively acquire a first imaging result and a second imaging result both containing an indicating mark. The processor is electrically connected to the image acquiring module and adapted to track a proceeding direction of the indicating mark by computing difference between the first imaging result and the second imaging result. The optical detecting device further includes a memory module electrically connected to the processor, and the processor analyzes the computed difference via a lookup table stored inside the memory module to determine the proceeding direction.

Optical detecting device

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

The present disclosure is related to an optical encoder which is configured to provide precise coding reference data by feature recognition technology. To apply the present disclosure, it is not necessary to provide particular dense patterns on a working surface. The precise coding reference data can be generated by detecting surface features of the working surface.

Growing community of inventors

Penang, Malaysia

Keen-Hun Leong