Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: a first, a second, a third, and a fourth side plates of a battery casing are connected in sequence. The first and the third side plates are arranged opposite to each other, and the first side plate is shorter than the third side plate. The second and the fourth side plates are arranged opposite to each other, and the fourth side plate is shorter than the second side plate. A connecting plate adapted to mount a tab of a battery is provided between the first and the fourth side plates and connected to the first and the fourth side plates, and the connecting plate is shorter than the second and the third side plates. The first, the second, the third, and the fourth side plates and the connecting plate are located at the same side of a support plate, and work with the support plate to define an accommodating cavity.

Abstract: Techniques for determining an object contour are discussed. Depth data associated with an object may be received. The depth data, such as lidar data, can be projected onto a two-dimensional plane. A first convex hull may be determined based on the projected lidar data. The first convex hull may include a plurality of boundary edges. A longest boundary edge, having a first endpoint and a second endpoint, can be determined. An angle can be determined based on the first endpoint, the second endpoint, and an interior point in the interior of the first convex hull. The longest boundary edge may be replaced with a first segment based on the first endpoint and the interior point, and a second segment based on the interior point and the second endpoint. An updated convex hull can be determined based on the first segment and the second segment.

Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: A laminating device includes: a plate being bendable, having a resilience characteristic and for bearing the flexible substrate; a supporting base platform for supporting the plate and driving the plate and the flexible substrate on the plate to move; a bending assembly for applying stress to drive the plate and the flexible substrate on the plate to be bent towards a side, facing away from the flexible substrate, of the plate, and for releasing stress to allow the plate and the flexible substrate to rebound; and a fixing fixture for fixing the protective cover plate. The protective cover plate is used to be laminated to the flexible substrate, a shape of the fixing fixture is same as or similar to that of the protective cover plate, the fixing fixture is bent to form an accommodating space, and the protective cover plate is fixed in the accommodating space.

Abstract: A deviation detection method includes obtaining first and second images of first and second electrode sheets, respectively, of an electrode assembly during winding using first and second cameras. The method further includes determining whether the first and/or second camera is deviated according to a distance from a reference point in the first and/or second image to a specific position, which is a position of a same object appearing in the first image and the second image. The method also includes determining whether the electrode assembly is deviated according to a vertical distance from the reference point in the first image to a boundary of the first electrode sheet and a vertical distance from the reference point in the second image to a boundary of the second electrode sheet if the first camera and the second camera are not deviated.

Abstract: The present disclosure provides a magnetic dressing and a preparation method and use thereof, belonging to the technical field of pharmaceutical preparations. The magnetic dressing includes a magnetic layer, a drug-loading layer, and a protective layer that are stacked in sequence, where the magnetic layer includes polyvinyl alcohol, gluten, and iron particles. In the present disclosure, a swallowed magnetic dressing is controlled by an external magnetic field, and the magnetic dressing is moved to a pathological position by changing a direction of the external magnetic field; after the external magnetic field is removed, the magnetic dressing changes from a ring to a sheet, thereby completing attachment of an entire lesion surface to complete treatment by autonomous drug release.

Abstract: Disclosed are a display apparatus and a method for displaying a user interface. In response to a preset instruction, the display apparatus acquires local images to generate a local video stream, plays a local video picture, and displays a graphic element for identifying a preset expected position in a floating layer above the local video picture. When the moving target exists in the local video picture and an offset of a target position of the moving target in the local video picture relative to the expected position is greater than a preset threshold value, a prompt control for guiding the moving target to move to the expected position is presented in the floating layer above the local video picture according to the offset of the target position relative to the expected position.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: A method of treating retinal degeneration in a subject includes administering to the subject a therapeutically effective amount of a compound of formula (I).

Abstract: A method and related system operations includes, determining, for each respective frame of a frame sequence, a respective bounding box that surrounds a respective sub-image of the respective frame, determining a respective string and respective confidence values associated with the respective string based on the respective sub-image, updating the tracklet to comprise the respective bounding box based on the respective string and at least one string generated by the object recognition model for a previous frame, and updating a voting table by adding the respective confidence values to the voting table. The method also includes generating an aggregated string based on the voting table by, for a set of positions of the aggregated string, determining a character associated with a maximum confidence value indicated by the voting table and associating the aggregated string with the tracklet in a data structure.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: Provided in the present application is an ultrasonic imaging method including generating an ultrasound image, determining an initial position of a tracking point of an area to be tracked in the ultrasound image, receiving a first tracking instruction from an input device, and automatically moving the tracking point along the boundary of the area to be tracked for the duration of the first tracking instruction to generate a trace line. Also provided in the present application are an ultrasonic imaging system and a non-transitory computer-readable medium.

Abstract: A method and related system operations include obtaining a video stream with an image sensor of a camera device, detecting a plurality of target objects by executing a neural network model based on the video stream with a vision processor unit of the camera device. The method also includes generating a plurality of bounding boxes, determining a plurality of character sequences by, for each respective bounding box of the plurality of bounding boxes, performing a set of optical character recognition (OCR) operations to determine a respective character sequence of the plurality of character sequences. The method also includes updating a plurality of tracklets to indicate the plurality of bounding boxes and storing the plurality of tracklets in association with the plurality of character sequences in a memory of the camera device.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: A method of treating retinal degeneration in a subject includes administering to the subject a therapeutically effective amount of a compound of formula (I).

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: A vehicle can include various sensors to detect objects in an environment. In some cases, the object may be within a planned path of travel of the vehicle. In these cases, leaving the planned path may be dangerous to the passengers so the vehicle may, based on dimensions of the object, dimensions of the vehicle, and semantic information of the object, determine operational parameters associate with passing the object while maintaining a position within the planned path, if possible.