Abstract: The cholesteric liquid crystal display (CLCD) device includes first and second cholesteric liquid crystal panels that reflect light within different wavelength ranges. Both panels have gate lines that extend from one side to the other. A gate driver is electrically connected to the first panel's gate lines. Additionally, a flexible printed circuit is electrically connected to both the first and second panels' gate lines.

Abstract: Integrated fan-out packages and methods of forming the same are disclosed. An integrated fan-out package includes two dies, an encapsulant, a first metal line and a plurality of dummy vias. The encapsulant is disposed between the two dies. The first metal line is disposed over the two dies and the encapsulant, and electrically connected to the two dies. The plurality of dummy vias is disposed over the encapsulant and aside the first metal line.

Abstract: A voltage controller of a display system includes a gate high voltage detector for detecting a gate high voltage, and a gate low voltage detector for detecting a gate low voltage. The gate high voltage and the gate low voltage are supplied to a gate driver, and the gate high voltage is greater than the gate low voltage.

Abstract: The panel driving circuit includes a channel circuit, first pads, first switches, a second pad, and at least one second switch. The first pads are configured to be electrically connected to data lines of a cholesteric liquid crystal (CHLC) panel respectively. Each first switch has a first terminal electrically connected to the channel circuit, and a second terminal electrically connected to one of the first pads. Each second switch has a first terminal electrically connected to the second pad, and a second terminal electrically connected to the first pads. In a pixel charging period, the first switches are turned on, and the second switch is turned off. In a test period, the first switch is turned off, the second switch is turned on, and the second pad is configured to receive a measurement signal for measuring capacitance of pixels in the CHLC panel.

Abstract: A driving circuit adaptable to an electrophoretic display includes a first transistor and a second transistor electrically connected in series between a first positive voltage node and a first negative voltage node, the first transistor and the second transistor being interconnected at an output node; a third transistor electrically connected between the output node and a ground; a first voltage regulator that switchably provides one of a plurality of positive supply voltages to the first positive voltage node; a second voltage regulator that provides a negative supply voltage to the first negative voltage node; a switching circuit having a plurality of outputs electrically connected to the first transistor, the second transistor and the third transistor to turn on or off the first transistor, the second transistor and the third transistor respectively; and a controller that controls the first voltage regulator, the second voltage regulator and the switching circuit.

Abstract: A method is to be implemented by a processor connected to a storage device and an image capturing device, and includes steps of: performing a first and a second classifications on an image received from the image capturing device for respectively obtaining first and second results of obstacle detection, and storing the same in the storage device; determining whether there is a distinct obstacle, which is an obstacle indicated by one of the first and second results of obstacle detection, and not indicated by the other one of the first and second results of obstacle detection; and calculating a penalty score based on the distinct obstacle, and updating a credibility score by subtracting the penalty score therefrom.

Abstract: A method is to be implemented by a processor connected to a storage device and an image capturing device, and includes steps of: performing a first and a second classifications on an image received from the image capturing device for respectively obtaining first and second results of obstacle detection, and storing the same in the storage device; determining whether there is a distinct obstacle, which is an obstacle indicated by one of the first and second results of obstacle detection, and not indicated by the other one of the first and second results of obstacle detection; and calculating a penalty score based on the distinct obstacle, and updating a credibility score by subtracting the penalty score therefrom.

Abstract: A target object detection system includes a detection unit and a machine learning unit. The detection unit obtains an image and outputs a notification signal upon determining that a portion of the image resembles a target object by performing a classification operation. The machine learning unit performs a training operation using the image to obtain new weak classifier parameters for update in the detection unit when a determination made using weak classifier parameters used in the classification operation of the detection unit differs from one made using strong classifier parameters.

Abstract: A target object detection system includes a detection unit and a machine learning unit. The detection unit obtains an image and outputs a notification signal upon determining that a portion of the image resembles a target object by performing a classification operation. The machine learning unit performs a training operation using the image to obtain new weak classifier parameters for update in the detection unit when a determination made using weak classifier parameters used in the classification operation of the detection unit differs from one made using strong classifier parameters.