Abstract:
There is provided a failure identification method of an optical navigation device including the steps of: constructing a fixed noise map according to image frames captured by an image sensor; calculating a feature value of the fixed noise map; identifying whether the fixed noise map is uniform or not according to the feature value; and generating an alert signal when the fixed noise map is non-uniform for indicating failure of the optical navigation device.
Abstract:
A computer system includes a host and a mouse device. The host is configured to output a screen size signal. The mouse device adjusts a DPI value thereof according to the screen size signal from the host. The present disclosure further provides an operating method of the computer system.
Abstract:
A displacement detection device includes an image sensor, a processing unit and an output unit. The image sensor is configured to detect reflected light from a working surface to successively output image frames. The processing unit is configured to identify a hovering height and calculate a first axis displacement and a second axis displacement according to the image frames. The output unit is controlled by the processing unit to output a first ratio of the first axis displacement but not to output the second axis displacement when the hovering height is higher than a predetermined height.
Abstract:
A navigation device including a digital filter configured to smooth tracking is provided. The digital filter is configured to sequentially receive input data and output a tap sum, and calculate a quotient and a remainder by dividing an accumulation value with an average number, wherein the remainder is feedback to the tap sum for updating the accumulation value and the quotient is configured as output data.
Abstract:
An optical navigation system comprising a control circuit and an optical navigation device. The optical navigation device comprises: an image sensor, configured to generate a plurality of image frames; and a motion reporting device, configured to report a first motion of the optical navigation device to the control circuit at a first time after a reference time, and configured to report a second motion to the control circuit at a second time after the first time. The first motion and the second motion are calculated according to the image frames. The control circuit calculates a first scaled motion according to the first motion, the second motion, a first time difference between the first time and the reference time, and a second time difference between the first time and the second time.
Abstract:
A mouse device and method for calibrating sensitivity thereof are provided. The method for calibrating sensitivity includes the following steps. First, sampling information is obtained under a test mode. A calibration factor is obtained according to the sampling information and a preset value. The calibration factor can be obtained by dividing the preset value by the resolution. Under a normal mode, an actual count detected by the mouse device is calibrated according to the calibration factor. Whenever the mouse device is moved on the operating surface for a distance, the actual count detected by the mouse device can be calibrated to obtain a calibrated count. The calibrated count can be calculated by multiplying the actual count by the calibration factor.
Abstract:
A navigation device includes an image sensor, a memory unit and a processing unit. The image sensor is configured to capture an image frame of a work surface. The memory unit previously saves a lookup table including surface quality profiles of different surface categories. The processing unit is configured to calculate surface qualities of the work surface associated with different quality thresholds and to compare the surface qualities with the lookup table to determine the surface category of the work surface thereby selecting a tracking strategy associated with the surface category of the work surface.