Abstract: Provided is a method for retrieving a lost-of-contact mobile terminal. The method is applied to a first control terminal, and includes: receiving a first lost-of-contact distress signal a first mobile terminal forwarded by a server; displaying a help seeking interface; sending, in response to a help-retrieving instruction, a first help-retrieving request to the server; and receiving a first confirmation help message from a second control terminal from the server, wherein the first confirmation help message indicates that the second control terminal agrees to help retrieve the first mobile terminal.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate, at least one group of contact pads, a plurality of first light-emitting elements, a plurality of first pixel driving circuits, a plurality of connecting traces, a plurality of data lines and a plurality of leads. The display area includes a first display area and a second display area; the first light-emitting elements are located in the first display area; the first pixel driving circuits are located in the second display area; the leads are located in the first display area and the peripheral area, and connect the data lines and the at least one group of contact pads; orthographic projections of the first light-emitting elements on a substrate surface of the base substrate are at least partly overlapped with orthographic projections of the leads on the substrate surface of the base substrate.

Abstract: Provided is a method for processing video data. The method includes: acquiring a second outline of at least one object in an (n+1)th image frame of a to-be-compressed video data group based on a fuzzy algorithm; determining a motion vector of the at least one object according to the second outline and a first outline of the at least one object in an nth image frame of the to-be-compressed video data group; acquiring compressed video data according to the motion vector and a start image frame of to-be-compressed video data; and sending the compressed video data to an apparatus for displaying images.

Abstract: The present application provides a method and system for defect detection. The method includes: acquiring a two-dimensional (2D) picture of an object to be detected; inputting the acquired 2D picture to a trained defect segmentation model to obtain a segmented 2D defect mask, where the defect segmentation model is trained based on a multi-level feature extraction instance segmentation network with intersection over union (IoU) thresholds being increased level by level, and the 2D defect mask includes information about a defect type, a defect size, and a defect location of a segmented defect region; and determining the segmented 2D defect mask based on a predefined defect rule to output a defect detection result.

Abstract: A large-load unmanned aerial vehicle (UAV) for plant protection with adjustable spraying swath and pesticide application amount is provided, relating to the technical field of pesticide application of unmanned aerial vehicles. The large-load unmanned aerial vehicle for plant protection comprises a large-load unmanned aerial vehicle, a pesticide box, a variable pesticide application system, and adjustable spraying swath mechanisms, wherein the pesticide box is fixed to landing gears of the unmanned aerial vehicle and is positioned below a control platform of the unmanned aerial vehicle; the adjustable spraying swath mechanisms are arranged on the landing gears, the variable pesticide application system is connected with the pesticide box and the adjustable spraying swath mechanisms, the variable pesticide application system and the adjustable spraying swath mechanisms are electrically connected with the control platform, and the control platform is in communication connection with a remote control handle.

Abstract: An image processing method includes obtaining two-dimensional and three-dimensional images of an object, extracting luminance and depth information from the three-dimensional image to generate luminance and depth image for the object, graying the two-dimensional image to obtain a single-channel grayscale image, selecting at least three same-location points from each of the grayscale and luminance image, calculating a coordinate transformation matrix between the grayscale and luminance images based on coordinates of the at least three same-location points in each of the grayscale and luminance images, and aligning the two-dimensional image with the luminance and depth images based on the coordinate transformation matrix to obtain fused image data. The fused image data includes color information of the two-dimensional image and the luminance and depth information of the three-dimensional image.

Abstract: An image processing method includes obtaining two-dimensional and three-dimensional images of an object, extracting luminance and depth information from the three-dimensional image to generate luminance and depth image for the object, graying the two-dimensional image to obtain a single-channel grayscale image, selecting at least three same-location points from each of the grayscale and luminance image, calculating a coordinate transformation matrix between the grayscale and luminance images based on coordinates of the at least three same-location points in each of the grayscale and luminance images, and aligning the two-dimensional image with the luminance and depth images based on the coordinate transformation matrix to obtain fused image data. The fused image data includes color information of the two-dimensional image and the luminance and depth information of the three-dimensional image.

Abstract: The present application provides a method and system for defect detection. The method includes: acquiring a two-dimensional (2D) picture of an object to be detected; inputting the acquired 2D picture to a trained defect segmentation model to obtain a segmented 2D defect mask, where the defect segmentation model is trained based on a multi-level feature extraction instance segmentation network with intersection over union (IoU) thresholds being increased level by level, and the 2D defect mask includes information about a defect type, a defect size, and a defect location of a segmented defect region; and determining the segmented 2D defect mask based on a predefined defect rule to output a defect detection result.

Abstract: The present invention provides a preparation method for a nitrogen-doped carbon-loaded metal monatomic catalyst, including: mixing a soluble metallic salt, a hydroxylamine hydrochloride, a soluble carbon source, water, and ethanol, to obtain a mixed solution, then performing drying and precipitation, to obtain a catalyst precursor, and finally performing calcination, to obtain a nitrogen-doped carbon-loaded metal monatomic catalyst. In the present invention, the metallic salt, the hydroxylamine hydrochloride, and the carbon source are fully mixed in the solution, and after being dried, are calcined, to carbonize the carbon source, so that ammonium ions are decomposed into nitrogen-doped carbon, and meanwhile, metal atoms are loaded onto the nitrogen-doped carbon. The method is simple, and costs are low.