Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.