Abstract: An image adjustment method, applied to an image sensing system comprising an image sensor, comprising: (a) sensing a target image by the image sensor; (b) dividing the target image to a plurality of image regions; (c) acquiring location information of at least one first target feature in the image regions; (d) computing brightness information of each of the image regions; (e) generating adjustment curves according to the brightness information and according to required brightness values of each of the image regions; and (f) adjusting brightness values of the image regions according to the adjustment curves. The step (d) adjusts the brightness information according to the location information or the step (e) adjusts the adjustment curves according to the location information.

Abstract: A backlight module includes a light guide plate, a light source, and an optical film. The light guide plate has a light incident surface and a light exiting surface opposite to the light incident surface, in which the light exiting surface has a normal line. The light source is adjacent to the light incident surface. The optical film is disposed to the light exiting surface and includes plural parallel prisms and plural microstructures. An extending direction of each of the prisms is perpendicular to the normal line, and each of the prisms faces the light exiting surface of the light guide plate. Each of the microstructures is located on a surface of the optical film which faces away from the light guide plate. Each of the microstructures has a pyramid structure with plural facets. The prisms are located between the microstructures and the light exiting surface.

Abstract: A HDR tone mapping system includes several modules. A semantic segmentation module is used to extract semantic information from the input image. An image decomposition module is used to decompose the input image to a high-bit base layer and a detail layer. A statistics module is used to generate statistics of pixels of the input image according to the semantic information. A curve computation module is used to generate a tone curve from the statistics. A compression module is used to compress the high-bit base layer to a low-bit base layer according to the tone curve, the statistics and the semantic information. A detail adjustment module is used to tune the detail layer according to the semantic information and the statistics to generate an adjusted detail layer. An image reconstruction module is used to combine the adjusted detail layer and the low-bit base layer to generate an output image.

Abstract: A backlit-module-embedded illuminated keyswitch structure includes a baseplate, a mask film disposed below the baseplate and having a first coating configured to substantially reflect a light, a light guide sheet disposed at one side of the mask film and having a light source hole, a reflective layer disposed at one side of the light guide sheet opposite to the mask film and having an opening communicating with the light source hole, a top glue configured to connect the mask film and the light guide sheet around the light source hole, and a bottom glue configured to connect the light guide sheet and the reflective layer around the light source hole. The first coating covers the light source hole. In a stacked direction of the mask film, the light guide sheet, and the reflective layer, at least one of the top glue and the bottom glue overlaps the first coating.

Abstract: A heat transfer element, a method for manufacturing the same and a semiconductor structure including the same are provided. The heat transfer element includes a housing, a chamber, a dendritic layer and a working fluid. The chamber is defined by the housing. The dendritic layer is disposed on an inner surface of the housing. The working fluid is located within the chamber.

Abstract: A heart rhythm detection method and system by using radar sensor is capable of collecting an original signal using a radar sensor toward at least one subject, and converting the original signal to a two dimensional image information (i.e., spectrogram) using the concept of image vision. Then, the neural network automatically learns which heartbeat frequency should be focused on and which heartbeat frequency should be filtered out in the two dimensional image information through deep learning, so that the heartbeat frequencies can be extracted effectively.

Abstract: A radar detection and identification device is disclosed, comprising at least one display host, at least one camera and at least one radar detector, wherein the camera and the radar detector, after photographing and detecting, are capable of performing masked face recognition and radar physiological detection recognition processes in order to identify the identity information and human physiological signals and display them on the display host.

Abstract: An earphone device includes a speaker unit, an inner housing body and an outer housing body. The inner housing body covers the speaker unit through an insert molding technique. The outer housing body covers the inner housing body through the insert molding technique.

Abstract: A speaker device includes a housing body, a speaker driver and a passive radiator. The housing body is formed with a first sound hole and a second sound hole respectively opening in two opposite directions. The speaker driver is disposed in the housing body, is located adjacent to the first sound hole, and is adapted to generate sound. The passive radiator is disposed in the housing body, is located adjacent to the second sound hole, and is adapted to generate sound. The first sound hole and the second sound hole are adapted for respectively allowing the sound generated by the speaker driver and the sound generated by the passive radiator to travel out from the housing body respectively in two opposite directions therethrough.

Abstract: A passive diaphragm assembly includes a counterweight member, a first diaphragm and a second diaphragm. The first diaphragm and the second diaphragm are spaced apart from each other, are connected respectively to opposite ends of the counterweight member, and cooperate with the counterweight member to define an air space thereamong.

Abstract: A heart rhythm detection method and system by using radar sensor is capable of collecting an original signal using a radar sensor toward at least one subject, and converting the original signal to a two dimensional image information (i.e., spectrogram) using the concept of image vision. Then, the neural network automatically learns which heartbeat frequency should be focused on and which heartbeat frequency should be filtered out in the two dimensional image information through deep learning, so that the heartbeat frequencies can be extracted effectively.

Abstract: A radar detection and identification device is disclosed, comprising at least one display host, at least one camera and at least one radar detector, wherein the camera and the radar detector, after photographing and detecting, are capable of performing masked face recognition and radar physiological detection recognition processes in order to identify the identity information and human physiological signals and display them on the display host.

Abstract: A heat transfer element, a method for manufacturing the same and a semiconductor structure including the same are provided. The heat transfer element includes a housing, a chamber, a dendritic layer and a working fluid. The chamber is defined by the housing. The dendritic layer is disposed on an inner surface of the housing. The working fluid is located within the chamber.

Abstract: The present invention provides an action recognition method and system thereof. The action recognition method comprises: capturing a 2D image and a depth image at the same time, extracting an 2D information of the human skeleton points from the 2D image and correcting it, mapping the 2D information of the human skeleton points to the depth image to obtain the corresponding depth information with respect to the 2D information of the human skeleton points and combining the corrected 2D information of the human skeleton points and the depth information to obtain the 3D information of the human skeleton points, and finally recognizing an action from a set of 3D information of the human skeleton points during a period of time by a matching model.

Abstract: A conformal array antenna includes a substrate and a conductive circuit. The substrate has a non-conductive roughened curved surface formed with a plurality of hook-shaped structures that are formed by blasting a plurality of particles on the substrate. The non-conductive roughened curved surface defines a plurality of spaced-apart antenna pattern regions. The conductive circuit is located in the antenna pattern regions, and includes an activation layer formed on the roughened curved surface and containing an active metal, and a first metal layer formed on the activation layer.

Abstract: The present invention provides an action recognition method and system thereof. The action recognition method comprises: capturing a 2D image and a depth image at the same time, extracting an 2D information of the human skeleton points from the 2D image and correcting it, mapping the 2D information of the human skeleton points to the depth image to obtain the corresponding depth information with respect to the 2D information of the human skeleton points and combining the corrected 2D information of the human skeleton points and the depth information to obtain the 3D information of the human skeleton points, and finally recognizing an action from a set of 3D information of the human skeleton points during a period of time by a matching model.

Abstract: A video condensation & recognition method and a system thereof are used to detect objects in input frames, derive a 3D object trajectory from which one or multiple 2D trajectories with object tubes are extracted, and catch a time position that refers to non-overlapping condition of object tubes for rearrangement of several continuous object tubes and creation of a condensed video. The generated condensed video can be adjusted by the user in the range of longest detected object tube to the generated condensed video length that is very beneficial for video analysis process. Moreover, a searched attribute of an object in a condensed video is classified for the filtering process which is able to display an object correlated with a distinct searched attribute on the condensed video.

Abstract: A speaker device includes a housing body, a speaker driver and a passive radiator. The housing body is formed with a first sound hole and a second sound hole respectively opening in two opposite directions. The speaker driver is disposed in the housing body, is located adjacent to the first sound hole, and is adapted to generate sound. The passive radiator is disposed in the housing body, is located adjacent to the second sound hole, and is adapted to generate sound. The first sound hole and the second sound hole are adapted for respectively allowing the sound generated by the speaker driver and the sound generated by the passive radiator to travel out from the housing body respectively in two opposite directions therethrough.

Abstract: A passive diaphragm assembly includes a counterweight member, a first diaphragm and a second diaphragm. The first diaphragm and the second diaphragm are spaced apart from each other, are connected respectively to opposite ends of the counterweight member, and cooperate with the counterweight member to define an air space thereamong.