Pixart Imaging Incorporated

Ching-Geak Chan

Keen-Hun Leong

Tong-Sen Liew

Yen-Min Chang

Hsin-Chia Chen

Boon-How Kok

Chiang-Hee Lim

Chu-Leik Ho

Sai-Mun Lee

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

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

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

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

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.

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Penang, Malaysia

Ching-Geak Chan