Abstract: The present application relates to the field of power equipment detection devices, and in particular to a power transformer fault detection device, which includes a detection component for detecting the oil composition of the transformer, and also includes a rotating part comprising multiple groups of oil pools that are evenly spaced around the rotating axis of the rotating part. The multiple groups of oil pools are connected to oil outlets at different heights on the transformer, and a light-transmitting window is provided on the oil pool. A detection component is installed on the rotating part, and can detect the composition of the liquid in the oil pool through the light-transmitting window. The present application has the effect of allowing staff to monitor the working status of the transformer in a timely manner and reducing the labor burden of the staff.

Abstract: A ranging camera device, including a body, a horizontal rotating shaft, a conductive ring, a worm gear mechanism, and a first motor. The horizontal rotating shaft is inserted into the body and is connected to the worm gear mechanism; the conductive ring is inserted into the horizontal rotating shaft to prevent a wire from being damaged in a rotating process; the worm gear mechanism is provided on the body and is connected to the first motor; the first motor is provided on the body; the first motor provides rotating force to the horizontal rotating shaft by means of a worm wheel and a worm, and the first motor drives the body to rotate around the axis of the horizontal rotating shaft under the counter-acting force transmitted by the horizontal rotating shaft.

Abstract: A ranging camera device includes a body, a horizontal rotating shaft, a conductive ring, a worm gear mechanism, and a first motor. The horizontal rotating shaft is inserted into the body and is connected to the worm gear mechanism; the conductive ring is inserted into the horizontal rotating shaft to prevent a wire from being damaged in a rotating process; the worm gear mechanism is provided on the body and is connected to the first motor; the first motor is provided on the body; the first motor provides rotating force to the horizontal rotating shaft by means of a worm wheel and a worm, and the first motor drives the body to rotate around the axis of the horizontal rotating shaft under the counter-acting force transmitted by the horizontal rotating shaft.

Abstract: The application relates to a dextran affinity tag and use thereof. The present application provides an affinity tag, which is a segment of dextran binding domain, and can purify a target protein by its affinity with the dextran. The affinity tag of the present application has the advantages of more efficient in preparation and purification, and can be widely used in industrial applications that require protein purification processes.

Abstract: The disclosure provides a method and system for multi-robot route planning. The method includes determining a route plan of a node based on an order value associated with the node, wherein the order value is distance travelled from the node to one or more nodes in a network, occupying an order slot from a list of orders of the node. The determined route plan of the node is sent to the one or more nodes in the network and a new route plan is generated, based on order value threshold and wait time estimate associated with the node. The method includes optimizing the generated new route plan of the node comprising computing a new order value occupying a new order slot from the list of orders of the node in parallel to change in status of order value of the one or more nodes.

Abstract: A system and a method to optimize route plans for handling critical scenarios faced in an operating environment have been described. The system or a platform resolves one or more nodes based on the inputs related to an operating environment. The system plans one or more routes based on the resolved nodes to provide generated route plans. Based on the planning, the system may analyze one or more route plans for critical scenarios, for example, avoiding a collision or minimizing congestion, damage to the robot, performance of vehicle or warehouse, etc. After the route plans are analyzed, the system optimizes one or more route plans to provide optimized route plans. The optimized route plans are distributed to one or more autonomous vehicles. The fleet of autonomous vehicles may then route progress messages and share feedback with the platform.

Abstract: Disclosed are embodiments for facilitating automatic-guided image capturing and presentation. In some embodiments, the method includes capturing an image of an item, removing a background of the image frame, performing manual mask editing, generating an item listing based on the manually edited mask, inferring item information from the image frame and applying the inferred item information to an item listing.

Abstract: Disclosed are embodiments for facilitating automatic-guided image capturing and presentation. In some embodiments, the method includes capturing an image of an item, removing a background of the image frame, performing manual mask editing, generating an item listing based on the manually edited mask, inferring item information from the image frame and applying the inferred item information to an item listing.

Abstract: A method for arranging appointments in an appointment schedule is to be implemented by a computer storing data that includes a session including a plurality of time slots. The data further includes a plurality of cumulative values corresponding respectively to the time slots and a plurality of maximum values related respectively to the cumulative values. The method includes steps of: in response to receipt of a message for reserving a desired time slot selected from among the time slots, changing the cumulative value and the maximum value that correspond to the desired time slot respectively to a first value and a second value; and performing procedures to update the appointment data related to two groups of the time slots that are in the reservation session and that are respectively after the desired time slot and before the desired time slot.

Abstract: The disclosure generally relates to method and system for task assignment in autonomous mobile devices. The method may include associating a value to a task from a plurality of tasks assigned to an agent from a plurality of agents in an operating environment. The method may further include evaluating the associated value to the task based on information received from the one or more agents and dynamically updating the evaluated value in response to the received information from the one or more agents to generate a new value to be associated with the task. The method further includes generating a task assignment plan for the agent based on the new value to be associated with the task, the assigned task is terminated based on the completion of the generated task assignment plan.

Abstract: A ranging camera device includes a body, a horizontal rotating shaft, a conductive ring, a worm gear mechanism, and a first motor. The horizontal rotating shaft is inserted into the body and is connected to the worm gear mechanism; the conductive ring is inserted into the horizontal rotating shaft to prevent a wire from being damaged in a rotating process; the worm gear mechanism is provided on the body and is connected to the first motor; the first motor is provided on the body; the first motor provides rotating force to the horizontal rotating shaft by means of a worm wheel and a worm, and the first motor drives the body to rotate around the axis of the horizontal rotating shaft under the counter-acting force transmitted by the horizontal rotating shaft.

Abstract: The disclosure generally relates to method and system for multi-robot route planning. The method may include determining a route plan of a node based on an order value associated with the node, wherein the order value is distance travelled from the node to one or more nodes in a network, occupying an order slot from a list of orders of the node. The method may further include sending, by a multi-route robot planner, the determined route plan of the node to the one or more nodes in the network and generating a new route plan, in response to sending the determined route plan to one or more nodes, wherein the new route plan is generated based on order value threshold and wait time estimate associated with the node.

Abstract: The disclosure relates to method and system for geographic routing mesh network. The method may include determining, by a first node, a first list of nodes proximal to the first node in a mesh network. The method further includes sending, by the first node to each node on the first list of nodes, the first list of nodes proximal to the first node. The method(s) further includes receiving, by the first node in response to sending the first list of nodes, one or more second list of nodes from one or more nodes of the first list of nodes, each of the one or more second list of nodes being proximal to one of the one or more nodes of the first list of nodes and updating, by the first node in response to receiving one or more second list of nodes proximal to the one more nodes of the first list of nodes, one or more nodes of the first list of nodes.

Abstract: The disclosure relates to method and system for geographic routing mesh network. The method may include determining, by a first node, a first list of nodes proximal to the first node in a mesh network. The method further includes sending, by the first node to each node on the first list of nodes, the first list of nodes proximal to the first node. The method(s) further includes receiving, by the first node in response to sending the first list of nodes, one or more second list of nodes from one or more nodes of the first list of nodes, each of the one or more second list of nodes being proximal to one of the one or more nodes of the first list of nodes and updating, by the first node in response to receiving one or more second list of nodes proximal to the one more nodes of the first list of nodes, one or more nodes of the first list of nodes.

Abstract: A method for transforming hair relates to the field of image processing, and can achieve a function of transforming the hair with a more consistent and natural color with respect to that before the hair of a character is transformed. The method for transforming the hair includes: acquiring a first sample image and a second sample image; determining a first color guide map based on the first sample image and the second sample image; acquiring a first image processing model by training with the first sample image and the first color guide map as training data and the second sample image as supervision information; and transforming, based on the first image processing model, hair in an image selected by a user.

Abstract: A method for detecting gesture key points can include: acquiring a target image to be detected; determining a gesture category according to the target image, the gesture category being a category of a gesture contained in the target image; determining a target key point detection model corresponding to the gesture category from a plurality of key point detection models; and performing a key point detection on the target image by the target key point detection model.

Abstract: A method for displaying objects is provided. The method includes: acquiring a scene image and a plurality of object images of a target object; determining, based on a target viewing angle of the scene image, X reference viewing angles from the viewing angles corresponding to the plurality of object images, wherein each of the X reference viewing angles is adjacent to the target viewing angle in terms of spatial position; generating intermediate images corresponding to the X reference viewing angles by transforming, based on position difference information between the X reference viewing angles and the target viewing angle, positions of pixel points in object images corresponding to the X reference viewing angles, wherein each of the intermediate images indicates a display effect of the target object at the target viewing angle; and displaying the intermediate images superimposed on the scene image.

Abstract: The disclosure can provide a method for converting an image, an apparatus for converting an image, an electronic device, and a storage medium. The method includes: obtaining an image in RAW format; obtaining a semantic analysis result of the image in RAW format by inputting the image in RAW format into a pre-trained first network model; the first network model being obtained by training based on a labeled training sample corresponding to each of a plurality of first training samples, the first training sample being a sample image in RAW format, and the labeled training sample being a sample image in RAW format obtained by labeling a semantic analysis result on the corresponding first training sample; and determining an image in RGB (Red-Green-Blue) format corresponding to the image in RAW format based on the semantic analysis result of the image in RAW format.

Abstract: Disclosed are embodiments for facilitating automatic-guided image capturing and presentation. In some embodiments, the method includes capturing an image of an item, removing a background of the image frame, performing manual mask editing, generating an item listing based on the manually edited mask, inferring item information from the image frame and applying the inferred item information to an item listing.

Abstract: A method for detecting key points of skeleton, an apparatus, an electronic device, and a storage medium are provided. The method is implemented as follows. An original image is acquired. The original image includes a plurality of key points of skeleton. Based on a pre-trained stacked hourglass network structure, skeleton key point identification is performed on the original image to obtain heat maps of the plurality of key points. The stacked hourglass network structure includes at least one hourglass network. The at least one hourglass network is configured to perform deep-layer feature learning on feature maps of the plurality of key points based on weight values corresponding to the feature maps.