Abstract: Disclosed are an active pixel image sensor and a display device. The active pixel image sensor includes: a base substrate; a photoelectric conversion structure arranged on the base substrate; multiple gate signal lines and multiple data signal lines crossed in an insulating manner, the multiple gate signal lines and the multiple data signal lines being configured to provide electrical signals to the photoelectric conversion structure; and a bias voltage layer, arranged on the photoelectric conversion structure and electrically connected with the photoelectric conversion structure, the bias voltage layer being configured to provide a bias voltage to the photoelectric conversion structure; the bias voltage layer includes at least one first hollow structure; and an orthographic projection of the first hollow structure on the base substrate and an orthographic projection of at least one of the gate signal lines and the data signal lines on the base substrate overlap each other.

Abstract: A method for training a patterning process model, the patterning process model configured to predict a pattern that will be formed by a patterning process. The method involves obtaining an image data associated with a desired pattern, a measured pattern of the substrate, a first model including a first set of parameters, and a machine learning model including a second set of parameters; and iteratively determining values of the first set of parameters and the second set of parameters to train the patterning process model. An iteration involves executing, using the image data, the first model and the machine learning model to cooperatively predict a printed pattern of the substrate; and modifying the values of the first set of parameters and the second set of parameters such that a difference between the measured pattern and the predicted pattern is reduced.

Abstract: A method for training a patterning process model, the patterning process model configured to predict a pattern that will be formed by a patterning process. The method involves obtaining an image data associated with a desired pattern, a measured pattern of the substrate, a first model including a first set of parameters, and a machine learning model including a second set of parameters; and iteratively determining values of the first set of parameters and the second set of parameters to train the patterning process model. An iteration involves executing, using the image data, the first model and the machine learning model to cooperatively predict a printed pattern of the substrate; and modifying the values of the first set of parameters and the second set of parameters such that a difference between the measured pattern and the predicted pattern is reduced.

Abstract: Embodiments herein describe a portal system for maintaining a user portal that is used for managing and generating scannable images. The scannable images may be linked to different types of content such as website URLs, social media platform user profiles, and augmented reality experiences. The user portal is accessible from a social media platform via user login credentials. Upon entering their user login credentials, the portal system authenticates the user login credentials and displays a list existing scannable images that are stored in association with the user portal. The user may modify one or more aspects of the existing scannable images or may generate a new scannable image from the user interface.

Abstract: A display apparatus includes a display; an image collector or a user input interface configured to connect with the image collector; one or more processors configured to execute the instructions to cause the display apparatus to: in response to a switch command for a gesture detection function switch on a user interface, detect whether the image collector is occupied by a specified application that needs to start the image collector based on an attribute state of the image collector; in response to the attribute state being a first state, determine that the image collector is occupied by the specified application that needs to start the image collector, and not perform a gesture detection function; in response to the attribute state being a second state, determine that the image collector is not occupied by the specified application that needs to start the image collector, and perform the gesture detection function.

Abstract: The present application relates to a sensor device, a forklift, and a control method for the sensor device. The sensor device comprises: a support structure comprising a support plate, pillars, and a fixing member, one end of each pillar being connected to the support plate and the other end being connected to the fixing member; a first radar disposed on the support plate and located between the support plate and the fixing member; and cameras disposed on the support plate and located between the support plate and the fixing member. The sensor device in this application integrates radars and cameras, facilitating cable routing for both radars and cameras, thereby improving production efficiency.

Abstract: Embodiments herein describe a portal system for maintaining a user portal that is used for managing and generating scannable images. The scannable images may be linked to different types of content such as website URLs, social media platform user profiles, and augmented reality experiences. The user portal is accessible from a social media platform via user login credentials. Upon entering their user login credentials, the portal system authenticates the user login credentials and displays a list existing scannable images that are stored in association with the user portal. The user may modify one or more aspects of the existing scannable images or may generate a new scannable image from the user interface.

Abstract: Disclosed are a detection substrate and a detection apparatus. The detection substrate includes: a base substrate; a plurality of pixel drive circuits; a first insulating layer, where the first insulating layer includes a plurality of first through holes; and a plurality of photosensitive devices, where each photosensitive device includes a first electrode, a photoelectric conversion layer and a second electrode, which are arranged in a stacked manner, the first electrode includes a body portion for carrying the photoelectric conversion layer, and a protruding portion, which extends from the body portion to cover the first through hole, the protruding portion is electrically connected to the pixel drive circuit by means of the first through hole, and an orthographic projection of the photoelectric conversion layer on the base substrate and an orthographic projection of the first through hole on the base substrate are provided side by side.

Abstract: A touch substrate, a display apparatus and a display system are provided. By rearranging and distributing transistors in each shift register, the number of transistors in a lateral direction is less than that of transistors in a longitudinal direction. That is a circuit structure of the shift register is designed to extend longitudinally, so that a size of the shift register in the lateral direction can be reduced, a narrow frame design is realized, and seamless splicing is favorably realized in a large-sized display panel.

Abstract: The present application provides a shelf positioning method, a shelf connecting method and device, equipment and a medium. The method comprises the following steps: acquiring image data, in the environment where a movable equipment is located, through an image acquisition module in the movable equipment; inputting the image data into a key point detection network to extract first position information of shelf key points in an image coordinate system from the image data through the key point detection network; and determining relative pose of the shelf key points relative to the movable equipment according to the first position information and a conversion relationship between the image coordinate system and a vehicle body coordinate system.

Abstract: The present disclosure provides a detector substrate and a flat panel detector, the detector substrate includes a substrate base and detector pixel units on the substrate base, each detector pixel unit includes: a driver circuit; a photoelectric conversion device disposed on a side, away from the substrate base, of the driver circuit, the photoelectric conversion device including at least two photoelectric conversion structures connected in series, a bottom electrode of a first photoelectric conversion structure being electrically connected with the driver circuit, and a top electrode of an nth photoelectric conversion structure being electrically connected with a bottom electrode of an (n+1)th photoelectric conversion structure, with n being greater than or equal to 1; and a bias voltage line on a side of the photoelectric conversion device away from the substrate base, the bias voltage line being electrically connected to a top electrode of a last photoelectric conversion structure.

Abstract: A robust optimization design method for a mechanical arm considering hybrid interval and bounded probabilistic uncertainties is provided.

Abstract: Provided is a fingerprint sensor, including: a substrate; a plurality of photosensitive devices disposed on the substrate; a light-emitting module disposed on a side, distal to the substrate, of the plurality of photosensitive devices; and a protective cover disposed on a side, distal to the substrate, of the light-emitting module, wherein the protective cover is provided with a plurality of conductive structures electrically connected to the light-emitting module, the plurality of conductive structures being in one-to-one correspondence with the plurality of photosensitive devices, and an orthographic projection of each conductive structure onto the substrate at least partially being overlapped with an orthographic projection of the photosensitive device corresponding to the conductive structure onto the substrate.

Abstract: A texture recognition device and a display apparatus are provided, the texture recognition device has a plurality of pixel units, and includes a base substrate, a driving circuit layer, a first electrode layer and a photosensitive element layer; at least one of the plurality of pixel units includes a pixel driving circuit in the driving circuit layer, a first electrode in the first electrode layer, and a plurality of photosensitive elements spaced apart from each other in the photosensitive element layer, the pixel driving circuit is electrically connected with the first electrode, the plurality of photosensitive elements are on a side of the first electrode away from the base substrate, and are electrically connected to the pixel driving circuit through the first electrode.

Abstract: An etch bias direction is determined based on a curvature of a contour in a substrate pattern. The etch bias direction is configured to be used to enhance an accuracy of a semiconductor patterning process relative to prior patterning processes. In some embodiments, a representation of the substrate pattern is received, which includes the contour in the substrate pattern. The curvature of the contour of the substrate pattern is determined, and an etch bias direction is determined based on the curvature by considering curvatures of adjacent contour portions. A simulation model is used to determine an etch effect based on the etch bias direction for an etching process on the substrate pattern.

Abstract: The disclosure provides a detection substrate and a detection device. The detection substrate includes: a base substrate including a photosensitive area and a peripheral area surrounding the photosensitive area; a plurality of organic photodetectors on the base substrate which are arranged in an array in the photosensitive area, the organic photodetectors each including a first electrode, an organic photoelectric detection function layer, and a second electrode which are stacked, and the second electrodes of all organic photodetectors being integrally arranged and extending from the photosensitive area to the peripheral area; and a bias line, the bias line being a strip-shaped line extending in a first direction in the peripheral area, the bias line being electrically connected to the second electrodes in the peripheral area, and the minimum distance between the bias line and the organic photoelectric detection function layers in the second direction is greater than a preset threshold.

Abstract: A touch substrate, a display apparatus and a display system are provided. By rearranging and distributing transistors in each shift register, the number of transistors in a lateral direction is less than that of transistors in a longitudinal direction. That is a circuit structure of the shift register is designed to extend longitudinally, so that a size of the shift register in the lateral direction can be reduced, a narrow frame design is realized, and seamless splicing is favorably realized in a large-sized display panel.

Abstract: Disclosed are a detection substrate and a detection apparatus. The detection substrate includes: a base substrate; a plurality of pixel drive circuits; a first insulating layer, where the first insulating layer includes a plurality of first through holes; and a plurality of photosensitive devices, where each photosensitive device includes a first electrode, a photoelectric conversion layer and a second electrode, which are arranged in a stacked manner, the first electrode includes a body portion for carrying the photoelectric conversion layer, and a protruding portion, which extends from the body portion to cover the first through hole, the protruding portion is electrically connected to the pixel drive circuit by means of the first through hole, and an orthographic projection of the photoelectric conversion layer on the base substrate and an orthographic projection of the first through hole on the base substrate are provided side by side.

Abstract: A difference analysis method for 3D CAD models based on key-point matching. According to the method, a 3D CAD model is firstly transformed into a key-point representation, then a graph representation and a graph matching method are introduced to establish a pre-matching of vertices between the two 3D CAD models, and rigid transformation parameters between the two 3D CAD models are obtained through a mismatch elimination method; and subsequently, a matching relationship of key-points is established by checking their distance after rigid transformation to obtain a key-point matching sequence for hierarchical comparison, so as to identify the differences between vertices, edges, faces and solid models, thereby quickly and accurately identifying the difference between the 3D CAD models.