Abstract: An optical lens includes: a first region, including a first incident surface and a first emergent surface that face each other, wherein the first incident surface is for, when a display panel is detected, receiving a first light ray from a plane region, and the first light ray exits from the first emergent surface after passing through the first region; a second region, connected to the first region, including a second incident surface and a second emergent surface that face each other, wherein the second incident surface is for, when the display panel is detected, receiving a second light ray that is from a curved-surface region and propagates in a first direction, and the second light ray exits from the second emergent surface in a second direction after passing through the second region; and the first emergent surface and the second emergent surface are located in a same plane.

Abstract: Provided is a method of training an image recognition model, the model is configured to detect a defect region in an image of a display substrate, the display substrate includes a display area and a connection area, and the method includes: acquiring a first training sample including images of n display substrates; dividing each of the images of n display substrates into a first sub image and a second sub image, the first sub image is an image of a display area, and the second sub image is an image of a connection area; inputting the first training sample into the image recognition model, the first training sample includes the first sub image and the second sub image; and adjusting at least one feature parameter of the image recognition model to reduce a difference between an output value of the model and a training value of the first training sample.

Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Abstract: An anti-glare apparatus includes a lens assembly having an incident side, the lens assembly including a layer of liquid crystal molecules, a first driving electrode and a second driving electrode respectively on both sides of the layer of the liquid crystal molecules, the first driving electrode or the second driving electrode including a plurality of sub-electrodes; a reflective layer on a side of the lens assembly opposite from the incident side; a camera, configured to acquire a human eye's position and acquire an intensity signal of incident light irradiating the incident side of the lens assembly; and a controller electrically connected to the first driving electrode, the second driving electrode, and the camera; where the controller is configured to adjust driving voltages of the sub-electrode based on the intensity signal of the incident light acquire by the camera to change the optical axis direction of the lens assembly.

Abstract: Provided are a method and apparatus for identifying the defect grade of a bad picture, and a storage medium. The method includes: determining the defect size of a defect from a bad picture; according to a product model corresponding to the bad picture, determining the design size of a pattern corresponding to a component that is adjacent to the position of the defect; determining the defect grade of the defect according to the defect type of the defect and a magnitude relationship between the defect size and the design size, wherein the defect grade is the degree to which the defect affects product yield.

Abstract: A positioning method performed at a server includes: receiving, at a frequency, arrival time information from a plurality of readers; determining, according to the arrival time information, that the tag is in a sensing auxiliary region of a positioning region; sending a first control command to one of the readers, so that the tag activates an inertial sensor thereof according to the first control command; receiving, from the reader, position information of the tag in the sensing auxiliary region obtained by the inertial sensor; determining, according to the position information of the tag in the sensing auxiliary region, a first motion trajectory of the tag in the sensing auxiliary region; and determining, according to the first motion trajectory, whether the tag enters one of the first regions.

Abstract: An all-solid-state lithium battery is disclosed, including a substrate; and a plurality of layers of lithium battery units stacked on the substrate. Each layer of lithium battery unit of the plurality of layers of lithium battery units includes at least two electrode collector layers, a first electrode layer, an electrolyte layer and a second electrode layer. Two neighboring layers of lithium battery units share one of the electrode collector layers. A method for fabricating an all-solid-state lithium battery is further disclosed.

Abstract: The present disclosure provides a vehicle positioning method, including: a first controller synchronously controlling each first beacon node to send a detection initial signal; a second controller determining a target beacon node among second beacon nodes and controlling the target beacon node to send a detection feedback signal; the first controller synchronously controlling each first beacon node to send a corresponding detection signal to be responded and recording a first moment of sending the detection signal to be responded; the second controller controlling the target beacon node to send a detection response signal; the first controller recording a second moment of receiving the detection response signal and determining a distance between each first beacon node and the target beacon node according to the first moment and the second moment, so as to determine a position of the target beacon node relative to the first vehicle.

Abstract: A method for manufacturing an all-solid lithium battery includes: providing a substrate; and forming M rows×N columns of lithium battery cells on the substrate, wherein each of the lithium battery cells includes a positive electrode current collector layer, a positive electrode layer, an electrolyte layer, a negative electrode layer, and a negative electrode current collector layer.

Abstract: A method for detecting a display panel defect, including: collecting a panel image of a to-be-detected display panel, a plurality of first pixels of the display panel corresponding to a plurality of second pixels in the panel image; converting the panel image into a binary image; dilating each bright spot region in the binary image such that adjacent bright spot regions communicate with each other to form at least one closed communication region in the binary image; determining a region of interest mask image in the binary image in accordance with the at least one closed communication region; determining a region of interest in accordance with the region of interest mask image and the panel image; and performing feature identification on the region of interest to determine a defect of the display panel.

Abstract: A battery and a manufacturing method thereof are disclosed. The battery includes at least one battery cell and at least one switching element; each of the at least one switching element is respectively connected to one or more of the at least one battery cell to control the one or more of the at least one battery cell.

Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Abstract: A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.

Abstract: The present disclosure provides a vehicle positioning method, including: a first controller synchronously controlling each first beacon node to send a detection initial signal; a second controller determining a target beacon node among second beacon nodes and controlling the target beacon node to send a detection feedback signal; the first controller synchronously controlling each first beacon node to send a corresponding detection signal to be responded and recording a first moment of sending the detection signal to be responded; the second controller controlling the target beacon node to send a detection response signal; the first controller recording a second moment of receiving the detection response signal and determining a distance between each first beacon node and the target beacon node according to the first moment and the second moment, so as to determine a position of the target beacon node relative to the first vehicle.

Abstract: Counter, pixel circuit, display panel, display device are provided. The counter includes: start-up circuit generating and outputting start-up signal by clock signal; M first and M second combinational logic circuits, alternate and cascaded, where M is integer no less than 1. Input terminal of first combinational logic circuit is coupled to output terminal of start-up circuit or second combinational logic circuit of previous stage, input terminal of second combinational logic circuit is coupled to output terminal of first combinational logic circuit of previous stage. Clock signal terminals of first, second combinational logic circuits are for inputting clock signal. First combinational logic circuit is for outputting clock signal in first time period and continuously outputting low level signal in second time period. Second combinational logic circuit is for outputting inverted signal of clock signal in third time period and continuously outputting low level signal in fourth time period.

Abstract: The present disclosure discloses an OLED encapsulation structure, a display device and a method for manufacturing an OLED encapsulation structure. The OLED encapsulation structure includes an OLED device and a plurality of film layers covering the OLED device. The plurality of film layers includes an inorganic layer and an organic layer stacked alternately, and contacting surfaces of any two film layers in contact with each other among the plurality of film layers include complementary topographies such that the any two film layers in contact with each other are stuck with each other.

Abstract: A microfluidic chip, a liquid sample detection device and a liquid sample detection method are provided. The microfluidic chip includes: a liquid inlet; a waste tank; an accommodating chamber respectively communicated with the liquid inlet and the waste tank at two ends of the accommodating chamber; and at least one giant magnetoresistance structure attached to a wall of the accommodating chamber and having a marker attached thereto. The giant magnetoresistance structure is configured to be attached with magnetic bead particles combined with a to-be-detected object in a liquid sample through a combination of the to-be-detected object and the marker.

Abstract: A method for manufacturing an all-solid lithium battery includes: providing a substrate; and forming M rows×N columns of lithium battery cells on the substrate, wherein each of the lithium battery cells includes a positive electrode current collector layer, a positive electrode layer, an electrolyte layer, a negative electrode layer, and a negative electrode current collector layer.

Abstract: An embodiment of the disclosure provides an immunodetection chip, an immunodetection device and a using method. The immunodetection chip includes a substrate and a cover plate. The substrate is disposed opposite to the cover plate to form a detection chamber. One side, facing the cover plate, of the substrate is fixedly provided with substrate antibodies. An inside wall of the detection chamber is provided with a detection member. The detection member is configured to output a corresponding electrical signal while adsorbing biological magnetic beads. The substrate antibodies match with target antigens.

Abstract: A lithium ion battery and a method for preparing a lithium ion battery are disclosed. The lithium ion battery includes: a first electrode current collector, a first electrode layer, an electrolyte layer, a second electrode layer, and a second electrode current collector which are laminated, and further includes a first electron transport layer and/or a second electron transport layer. The first electron transport layer is provided between the first electrode layer and the first electrode current collector, and the second electron transport layer is provided between the second electrode layer and the second electrode current collector.