Abstract: 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.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: 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.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: 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.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: 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.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: 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.

Abstract: There is provided a navigation device including an image sensor, an analog to digital converter and a processor. The image sensor is used to output an analog image using an exposure time. The analog to digital converter is used to convert the analog image to a digital image using a resolution. The processor is used to identify an image quality of the digital image, and adjust at least one of the exposure time of the image sensor and the resolution of the analog to digital converter according to the image quality thereby adjusting the operation power by changing data length actually processed by the processor.

Abstract: 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.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.