Abstract: An object recognition device and an object recognition method are provided. The object recognition device includes an image sensor, a motorized pan-tilt mechanism, at least one marker, and a computing host. The image sensor senses an imaging region to generate an image data. The motorized pan-tilt mechanism rotates the image sensor to adjust the imaging region. The at least one marker is fixed to the motorized pan-tilt mechanism. The computing host determines whether the at least one corresponding marker appears in a specific region on a frame corresponding to the image data. In response to the corresponding marker not appearing in the specific region, the computing host suspends an object recognition on the frame corresponding to the image data. In response to the corresponding marker appearing in the specific region, the computing host starts to perform the object recognition on the frame corresponding to the image data.

Abstract: A system and method for adjusting input data of a decision-making neural network is provided, wherein the system includes a data-dividing neural network apparatus and a data processing apparatus. The data-dividing neural network apparatus receives an input data and divides the input data into a plurality of sub data including a first sub data and a second sub data. The data processing apparatus is coupled to the data-dividing neural network apparatus to receive the sub data, and process the first sub data and the second sub data by different ways when the sub data is processed, so that the first sub data and the second sub data are differently adjusted. The decision-making neural network is electrically coupled to the data processing apparatus to take the processed sub data as input data. As a result, the neural network can change the final output results.

Abstract: An electrostatic discharge protection device is provided. The electrostatic discharge protection device includes first and second N-type deep well (DNW) regions in a P-type semiconductor substrate, first to fourth N-type and P-type doped regions, and first and second P-type well (PW) regions. The first N-type and P-type doped regions and the first PW region are located in the first DNW region. The second N-type and P-type doped regions and the second PW region are located in the second DNW region. The third and fourth N-type and P-type doped regions are located in the first and second PW regions. The first P-type and fourth N-type doped regions are connected to an input/output terminal. The first N-type and second P-type doped regions are connected to a power supply terminal. The third N-type and the fourth P-type doped regions are connected to a ground terminal.

Abstract: A charging and discharging system and a charging and discharging method are provided. The charging and discharging system includes a battery module detection circuit, a charging and discharging controller, and a microcontroller. The battery module detection circuit receives a detection signal of a battery module and generates a battery type determination signal and a deep discharge detection signal based on the detection signal. The microcontroller controls the charge and discharge controller to perform a charging operation or a discharging operation on the battery module. When the microcontroller determines that the battery module is a first battery type based on the battery type determination signal, the microcontroller controls the charge and discharge controller to perform a deep discharge protection function based on the deep discharge detection signal.

Abstract: An electronic device includes a device body and a mounting accessory. The mounting accessory includes a first lateral bracket and a second lateral bracket. When the first lateral bracket and the second lateral bracket are mounted on the device body in a first mounting configuration, the first lateral bracket and the second lateral bracket provide a set of locking points. When the first lateral bracket and the second lateral bracket are mounted on the device body in a second mounting configuration, the first lateral bracket and the second lateral bracket provide another set of locking points.

Abstract: Goodness of pronunciation (GOP) evaluation techniques with improved reliability are presented. A data preprocessing server operates a data pre-processing system and a GOP evaluation system. The data pre-processing system includes a phonetic symbol generation system and an audio recording preprocessing system. Based on a practice text as well as an audio recording of the user reading the practice text, the phonetic symbol generation system generates phonetic symbols, and the audio recording preprocessing system generates audio data. The GOP evaluation system scores the audio recording based on the phonetic symbols and the audio data. The phonetic symbol generation system operates an artificial intelligence model, which generates the phonetic symbols in response to the fact that the practice text includes polyphonic words. Polyphonic words are words with several pronunciations due to their parts of speech, or special words which are numbers or place names.

Abstract: An electrostatic discharge protection device is provided. The electrostatic discharge protection device includes first and second N-type and P-type and third P-type doped regions in the first and second N-type well regions in a P-type semiconductor substrate. First and second P-type well regions are in the first N-type well region. Third N-type, fourth P-type and N-type and fifth P-type doped regions are in the first and second P-type well regions. Fifth N-type and sixth P-type doped regions are in the third P-type well region in the second N-type well region. The first and second N-type doped regions are directly electrically connected to the fifth and sixth P-type doped regions, respectively. The first P-type and fifth N-type, the second P-type and third N-type, and the third P-type doped region and the fourth N-type and P-type doped regions are electrically connected to input/output, power supply and ground terminals.

Abstract: The image recognition system includes an image sensor and an image processor. The image sensor acquires a plurality of sensed images of continuous frames. The image processor performs image recognition on the plurality of sensed images. The image processor determines on the plurality of sensed images respectively whether the sensed image is a valid frame not containing a road, to determine a plurality of valid sensed images. The image processor determines from the plurality of valid sensed images respectively whether a proportion of an area of a drivable area in a plurality of sub-image regions of the valid sensed image is less than a preset proportion, to perform danger marking. The image processor calculates the number of danger marks of the sub-image regions for each of the valid sensed images. When the number of danger marks is greater than a preset threshold, the image processor generates a danger warning.

Abstract: A circuit board has a surface and a contact arrangement on the surface. The contact arrangement includes contacts. The contacts are staggered. The contacts include multiple first ground contacts, multiple first signal contacts and multiple second signal contacts. The ground contacts are arranged along a first straight line. The first signal contacts are arranged on one side of the first straight line, and the two adjacent first signal contacts are grouped into a first signal contact pair. The second signal contacts are arranged on the other side of the first straight line, and the two adjacent second signal contacts are grouped into a second signal contact pair, and the transmission direction of the first signal contact pair is different from the transmission direction of the second signal contact pair.

Abstract: A speaking practice system with redundant pronunciation correction is shown, which provides a goodness of pronunciation (GOP) evaluation system running on a data processing server to detect redundant pronunciation in an audio recording. The audio recording is recorded when the user reads a practice text aloud. According to the detected redundant pronunciations, the user is informed to make corrections.

Abstract: A dash cam includes a dash cam body, a plastic enclosure, an antenna module, and a connecting bracket. The dash cam body has a camera. The plastic enclosure has an adhesive surface and is suited for being pasted onto an inner side of a vehicle windshield through the adhesive surface. The antenna module is disposed inside the plastic enclosure and is electrically connected to the dash cam body. The connecting bracket is connected between the plastic enclosure and the dash cam body.

Abstract: A package substrate has a substrate surface and a chip region on the substrate surface. The package substrate includes circuit layers, conductive vias, and byte region rows. The circuit layers are sequentially spaced below the substrate surface. Each conductive via is connected to at least two of the circuit layers. The byte region rows are arranged side by side sequentially from an edge of the chip region to a center of the chip region, and each byte region row includes byte regions arranged in a row. Each byte region includes pads located on the circuit layer closest to the substrate surface. The pads of the byte regions of the byte region row closer to the edge of the chip region extend from the chip region to an outside of the chip region through traces of the circuit layer closer to the substrate surface.

Abstract: An image surveillance method, an image surveillance system, and a terminal device are disclosed. The image surveillance method includes the following steps: obtaining an original image through a camera module, and providing the original image to an artificial intelligence module and a server; analyzing the original image through the artificial intelligence module to generate an analysis result, and providing the analysis result to the server; providing the original image and the analysis result to the terminal device through the server; and displays the original image, the analysis result, or a superimposed image through the terminal device, where the superimposed image is a result of superimposed a part of the analysis result onto the original image.

Abstract: A method and system for detecting object is described. The method obtains a target image with a first resolution; converts the target image into a transition image with a second resolution, wherein the second resolution is lower than the first resolution; generates a preprocessed image by replacing a predetermined amount of pixel data included in a specific transition image area of the transition image with the predetermined amount of pixel data included in a specific target image area of the target image; determines whether an object complying with at least one predetermined condition exists in the preprocessed image; and generates an indication signal for indicating a position of the object when the object is determined to be existed in the preprocessing image.

Abstract: An identification system and an identification method are provided. The identification system includes a storage device and a processor. The storage device stores an identification module. The identification module includes a text encoder, a computing module, and an attentive pairwise interaction network model. The processor is coupled to the storage device and executes the identification module. The processor inputs the input data to the identification module, so that the identification module generates output data according to the input data. The input data is one of text data and picture data, and the output data is the other one of text data and picture data. Encoding data output by the text encoder or the attentive pairwise interaction network model is used as the input data of the computing module. The computing module generates output data according to the input data.

Abstract: An electronic package includes a sub-package. The sub-package includes multiple chips, a first redistribution wiring structure, and a second redistribution wiring structure. The chips are arranged on a plane. Each of the chips has a chip substrate, multiple buried power rails, and multiple chip pads. The backside of the chip is a portion of the chip substrate correspondingly. The buried power rails are disposed penetratingly on the chip substrate, and the chip pads are disposed on active surfaces of the chips correspondingly. The first redistribution wiring structure is disposed on the active surfaces of the chips and electrically connected to the chip pads. The second redistribution wiring structure is disposed on the backside of the chips and connected to the buried power rails. The buried power rails of the chips are electrically connected to an external power supply via the second redistribution wiring structure.

Abstract: A manufacturing method of an electronic package includes the following steps. A first interfacial dielectric layer is formed to cover sides of multiple first conductive vias and multiple second conductive vias. Multiple chips are directly bonded to the first and second conductive vias. A base dielectric layer is formed to fill a gap between the adjacent chips. A bridge element is directly bonded to the first conductive vias, such that the bridge element partially overlaps the adjacent chips respectively. A second interfacial dielectric layer and multiple third conductive vias are formed on the first interfacial dielectric layer and the bridge element. A redistribution circuit structure is formed on the second interfacial dielectric layer and the third conductive vias. Multiple conductive bumps are formed on the redistribution circuit structure. An electronic package is also provided.

Abstract: An object detection device and a confidence threshold method adjustment method are provided. The object detection device includes an optical camera, multiple sensors, and a processor. The optical camera and sensors are used to respectively capture a real-time video and environmental value of a detection area. The processor performs an object recognition model and at least one second recognition model. The object recognition model determines whether an object exists in the detection area based on the real-time video to generate a first recognition result and a corresponding first confidence value. The at least one second recognition model generates a second result based on the environmental value respectively. The processor dynamically adjusts a confidence threshold value based on a value of the second result and a correlation degree between the object and the second result.

Abstract: An electronic assembly includes a circuit board having a mounting surface and outer pads located on the mounting surface and staggered. The outer pads include pairs of differential signal pads arranged adjacent to each other including a first pair of differential signal pads and a second pair of differential signal pads. The first pair of differential signal pads and the second pair of differential signal pads are symmetrically arranged with respect to a symmetry line. A center extension line passing through the first pair of differential signal pads and a center extension line passing through the second pair of differential signal pads intersect at an intersection point on the symmetry line. The center extension line passing through the first pair of differential signal pads or the center extension line passing through the second pair of differential signal pads and the symmetry line are not perpendicular to each other.

Abstract: A dash cam includes a dash cam body, a plastic enclosure, an antenna module, and a connecting bracket. The dash cam body has a camera. The plastic enclosure has an adhesive surface and is suited for being pasted onto an inner side of a vehicle windshield through the adhesive surface. The antenna module is disposed inside the plastic enclosure and is electrically connected to the dash cam body. The connecting bracket is connected between the plastic enclosure and the dash cam body.