Abstract: A method for detecting workpiece based on homogeneous multi-core architecture is illustrate. The method comprises: obtaining detecting images of detecting workpieces; identifying detecting areas of the detecting workpieces in the detecting images; dividing the preset rotation angle to obtain the rotation accuracy and initial rotation angles; based on each of the initial rotation angles, rotating the detecting areas to obtain a rotation area of each of the initial rotation angles; calculating similarity values between each of the rotation areas and a preset qualified area, and determining a largest similarity value as the target similarity value; and when the rotation accuracy is greater than or equal to a preset accuracy, identifying whether the detecting workpiece is a qualified workpiece according to the target similarity value and a preset similarity threshold.

Abstract: A semiconductor device includes a first region and a second region, and the second region surrounds the first region. The semiconductor device includes at least one electronic unit, a redistribution structure, a plurality of first pads, and a plurality of second pads. The redistribution structure may be electrically connected to at least one electronic unit. A plurality of first pads are arranged on the redistribution structure and correspondingly to the first region. There is a first pitch between two adjacent first pads. A plurality of second pads are arranged on the redistribution structure and correspondingly to the second region. There is a second pitch between two adjacent second pads, so that the first pitch is smaller than the second pitch.

Abstract: A data test method, an electronic device, and a storage medium are provided. In the data test method, based on a Density-Based Spatial Clustering of Applications with Noise (DBSCAN), at least one cluster is obtained by removing discrete points in the target data and performing clustering, an calculation result is obtained by performing a regression analysis on the target data with the objective function, and parameters to be tested are verified according to the calculation result. Utilizing the data test method, objective function can be used to perform verification and residual analysis on the target data, related descriptions are be repeated here.

Abstract: A structured-light three-dimensional (3D) scanning system includes a projector that emits a projected light with a predetermined pattern onto an object; an image capture device that generates a captured image according to a reflected light reflected from the object, the predetermined pattern of the projected light being distorted due to 3D shape of the object, thereby resulting in a distorted pattern; a depth decoder that converts the distorted pattern into a depth map representing the 3D shape of the object; and a depth fusion device that generates a fused depth map according to at least two different depth maps associated with the object.

Abstract: An electronic device including an electronic unit and a redistribution layer is disclosed. The electronic unit has connection pads. The redistribution layer is electrically connected to the electronic unit and includes a first insulating layer, a first metal layer and a second insulating layer. The first insulating layer is disposed on the electronic unit and has first openings disposed corresponding to the connection pads. The first metal layer is disposed on the first insulating layer and electrically connected to the electronic unit through the connection pads. The second insulating layer is disposed on the first metal layer. The first insulating layer includes first filler particles, and the second insulating layer includes second filler particles. The first filler particles have a first maximum particle size, the second filler particles have a second maximum particle size, and the second maximum particle size is greater than the first maximum particle size.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: The device includes a projecting device, an image sensor and a computing circuit. The projecting device provides a light beam having a predetermined pattern that is projected onto an object. The image sensor receives the light beam reflected from the object to generate an image. The computing circuit compares the image with a first ground-truth image and a ground-truth image to generate a first depth value and a second depth value respectively. The first and second depth values are combined to generate a depth result.

Abstract: A method for detecting defect in image is provided. The method obtains a number of original images, determines a first reference image from the original images, and performs a histogram matching on the original images excluding the first reference image according to the first reference image, to obtain a plurality of matched images. The method further generates a synthesized image according to pixel intensities of the matched images and pixel intensities of the first reference image; and uses the synthesized image as a second reference image to perform an image comparison with a test image, to generate a result of defect detection. A related device and a related non-transitory storage medium are also provided.

Abstract: A method, a device, and a non-transitory computer readable medium for detecting label on curved container, includes obtaining a first image, the first image comprising a label on the curved container; obtaining a plurality of reference points in the first image; obtaining a first width of the curved container and first position data of the label according to the plurality of reference points; determining whether the curved container is rotated according to the first width and a predetermined standard width; when the curved container rotated being determined, predicting a second width of the curved container according to the firs position data and a predetermined regression equation; and determining whether the label is offset according to the first width and the second width.

Abstract: A method for detecting apparent defects in images of products acquires an original image of the product. Defects apparent in the original image are automatically detected by an automatic optical detection apparatus. When the original image comprises at least one apparent defect, the original image is cut into at least one partial image centered on the at least one apparent defect. Each partial image contains one defect. By determining whether the at least one partial image indicates a real defect or a false or ghost defect, a result of desired image (for further analysis), or undesired image (for discarding) is output. The original image is deemed a desired image or an undesired image based on the result. A defect detection system applying the method is also disclosed.

Abstract: This application provides a method of detecting printing defects. The method includes obtaining a first image of each character in a reference image. A third image of each character is obtained based on the first image of each character, a fourth image of each character is obtained based on a second image of each character obtained from an image to be detected. Once a fifth image of each character is obtained based on the third image of each character, a sixth image of each character is obtained according to the fourth image and the fifth image of each character, a detection result of each character in the image to be detected is determined according to the fifth image and the sixth image of the each character.

Abstract: A method of detecting misprints obtains a reference image of perfectly-formed characters and a test image showing the same characters. First image processing is performed on the reference image to obtain a first image, and first image processing is performed on the test image to obtain a second image. A second image processing is performed on the first image to obtain a first outline image of each of first characters in the reference image, and the second image processing is performed on the second image to obtain a second outline image of each of second characters in the test image. A corresponding first outline image is determined for the second outline image. A similarity between the corresponding first outline image and the second outline image is calculated. Accordingly, a detection result of the second outline image is determined. The method can detect character flaw accurately.

Abstract: An image generation method obtains an original image. A character area, a background area, and a position of each flawless character in the original image are determined. The character area is segmented to obtain a first image of each flawless character. A background is removed from the first image to obtain a second image. First image processing is performed on the second image to obtain a third image. Second image processing is performed on the second image to obtain fourth images. Third image processing is performed on the fourth images respectively to obtain fifth images. A similarity between each fifth image and the third image is calculated. When the similarity is greater than a defect threshold, a background image is segmented. Brightness of the background image is adjusted. The target fourth image and adjusted background image are synthesized. The method can generate images with defective characters quickly.

Abstract: A method of identifying characters in images extracts features of a detection image including characters. Enhancement processing is performed on the detection image according to the features to obtain an enhanced image. Closed edges of the characters are detected in the enhanced image. First rectangular outlines of the characters are determined according to the closed edges. The first rectangular outlines are corrected to obtain second rectangular outlines. The characters are cropped from the detection image according to the second rectangular outlines. The method identifies characters in images accurately and rapidly.

Abstract: A method of recognizing target objects in images obtains a detection image of a target object. A template image is generated according to the target object. The detection image is compared with the template image to obtain a comparison result. Candidate regions of the target object are determined in the detection image according to the comparison result. At least one target region of the target object is obtained from the candidate regions. The method detects target objects in images very rapidly.

Abstract: A data test method, an electronic device, and a storage medium are provided. In the data test method, based on a Density-Based Spatial Clustering of Applications with Noise (DBSCAN), at least one cluster is obtained by removing discrete points in the target data and performing clustering, an calculation result is obtained by performing a regression analysis on the target data with the objective function, and parameters to be tested are verified according to the calculation result. Utilizing the data test method, objective function can be used to perform verification and residual analysis on the target data, related descriptions are be repeated here.

Abstract: A method of button routing editing for a storage medium menu containing at least one button is provided. The method includes steps of (a) displaying a routing reminder on a button with an incorrect routing status; (b) selecting at least one button; (c) displaying a routing controller on the selected button, wherein the routing controller comprises a first control button, a second control button, a third control button and a fourth control button; and (d) selecting one of the above-mentioned control buttons, and then selecting a target button to set a routing direction target for the selected control button to the target button, wherein after the steps (b)-(d) are performed, if there exists any button with an incorrect routing status, the routing reminder is displayed thereon, and if there exists any button with a correct routing status, no routing reminder is displayed thereon.

Abstract: A playable volume generation method is provided. A playlist includes a plurality of playlist items, each targeting one of the playable items to be displayed according to the arrangement of the playlist items. A designated inter-item position on the playlist for inserting a new playlist item is received. A former playlist item and a later playlist item adjacent to the new playlist item are automatically retrieved. A second playable item targeted by the new playlist item is automatically generated to simulate a transition effect transitioning from the end of the playable item targeted by the former playlist item to the beginning of the playable item targeted by the later playlist item.

Abstract: A method of button routing editing for a storage medium menu containing at least one button is provided. The method includes steps of (a) displaying a routing reminder on a button with an incorrect routing status; (b) selecting at least one button; (c) displaying a routing controller on the selected button, wherein the routing controller comprises a first control button, a second control button, a third control button and a fourth control button; and (d) selecting one of the above-mentioned control buttons, and then selecting a target button to set a routing direction target for the selected control button to the target button, wherein after the steps (b)-(d) are performed, if there exists any button with an incorrect routing status, the routing reminder is displayed thereon, and if there exists any button with a correct routing status, no routing reminder is displayed thereon.

Abstract: A playable volume generation method. A playlist comprises a plurality of playlist items, each targeting one of the playable items to be displayed according to the arrangement of the playlist items. A designated inter-item position on the playlist for inserting a new playlist item is received. A former playlist item and a later playlist item adjacent to the new playlist item are automatically retrieved. A second playable item targeted by the new playlist item is automatically generated to simulate a transition effect transitioning from the end of the playable item targeted by the former playlist item to the beginning of the playable item targeted by the later playlist item.