Abstract: The disclosure relates to a method for warehouse storage-location monitoring, a computer device, and a storage medium. The method includes the following. Video data of a warehouse storage-location area is obtained, and a target image corresponding to the warehouse storage-location area is obtained based on the video data, where the warehouse storage-location area includes an area of a storage-location and an area around the storage-location. The target image is detected based on a category detection model, to determine a category of each object appearing in the target image. A detection result is obtained by detecting a status of each object based on the category of each object. The detection result is transmitted to a warehouse scheduling system, where the detection result is used for the warehouse scheduling system to monitor the warehouse storage-location area.

Abstract: A method for cargo counting, a computer equipment, and a storage medium are provided in the disclosure. The method includes the following. Three-dimensional (3D) point cloud data of a set of cargoes within a preset placement region is obtained based on a cargo-counting instruction. Whether the set of cargoes are in a first placement state is determined according to the 3D point cloud data. Based on a determination that the set of cargoes are in the first placement state, a quantity of the set of cargoes is calculated.

Abstract: Provided is a path planning method of a handling device, a handling device, and an electronic device. The method includes: based on position information of a target goods placement area in a truck bed and an initial position, determining a handling path corresponding to the target goods placement area, where the handling path includes a first handling path including a turn-around position and a loading-unloading position corresponding to the target goods placement area; sending the handling path to a target handling device such that the target handling device, based on the first handling path, travels to the turn-around position in a forward mode, and rotates at the turn-around position to enable a bearing assembly of the rotated target handling device to face toward the target goods placement area, and then travels, in a backward mode, to the loading-unloading position to perform goods loading or unloading operations.

Abstract: The present disclosure discloses a handling device and a method applied to the handling device, a controller and a plurality of 3D laser radars are arranged on a vehicle body of the handling device, the controller is in communication connection with the plurality of 3D laser radars, the plurality of 3D laser radars are configured to acquire 3D point cloud data of environment regions in a plurality of different orientations of the vehicle body, and the controller may determine the pose of the handling device according to the plurality of 3D point cloud data to position the handling device.

Abstract: By providing a 3D laser radar and a camera on a fork assembly of the handling device, the 3D laser radar and the camera can move relative to a device body of the handling device along with the fork assembly. When the 3D laser radar and the camera move along with the fork assembly to a position corresponding to an object, the 3D laser radar collects 3D point cloud data of the object and the camera collects image data of the object, and a controller of the handling device can determine, based on the 3D point cloud data, pose information of the object, and determine, based on the image data, a fork insertion position of the object, and control, based on the pose information and the fork insertion position, the fork assembly to align with the fork insertion position of the object to pick up the object.

Abstract: A method and apparatus for forklift pickup, a computer device, and a storage medium are provided in the disclosure. The method includes the following. Observational data of a truck parking area is obtained by observing the truck parking area. Point cloud data of at least one truck is obtained in the observational data, and point cloud data of each of the at least one carrier is obtained in the point cloud data of the at least one truck. A relative pose of each of at least one carrier is determined based on the point cloud data of each of the at least one carrier. A pickup priority is determined based on the point cloud data of each of the at least one carrier. A forklift is controlled to perform pickup according to the relative pose of each of the at least one carrier and the pickup priority.

Abstract: A method and apparatus for forklift pickup, a computer device, and a storage medium are provided in the disclosure. The method includes the following. Observational data of a truck parking area is obtained by observing the truck parking area. Point cloud data of at least one truck is obtained in the observational data, and point cloud data of each of the at least one carrier is obtained in the point cloud data of the at least one truck. A relative pose of each of at least one carrier is determined based on the point cloud data of each of the at least one carrier. A pickup priority is determined based on the point cloud data of each of the at least one carrier. A forklift is controlled to perform pickup according to the relative pose of each of the at least one carrier and the pickup priority.

Abstract: A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.

Abstract: A method, a remote control device, and a system are provided. The method may include: determining an initial synthetic polarization direction based at least in part on transmission antenna information of a movable platform; obtaining attitude data indicative of an attitude change of the movable platform; and determining a target synthetic polarization direction based at least in part on the attitude data and the initial synthetic polarization direction, wherein a remote control device is configured to communicate with the moveable platform using the target synthetic polarization direction. By adopting the method, the communication quality between the remote control device and the moveable platform can be improved.

Abstract: A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.

Abstract: A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.

Abstract: An apparatus for identification and positioning and a cargo transportation apparatus are provided in the disclosure. The apparatus for identification and positioning includes a mounting member and a first detection member. The mounting member is configured to be connected to a handling member of a cargo transportation device. The first detection member is configured to identify and position a cargo or the cargo transportation device. According to the apparatus for identification and positioning and the cargo transportation apparatus provided in the disclosure, the cargo or the cargo transportation device can be automatically positioned with the first detection member.

Abstract: A method and a device for cargo inventorying and a storage medium are provided in the disclosure. A storage-space image is obtained, where the storage-space image is obtained by performing image acquisition on at least one storage-space where cargoes are stored. A detection result is obtained by performing inference detection on the storage-space image. In addition, a result of cargo inventorying on the storage space is obtained by emphasizing cargoes in the storage-space image according to the detection result. In the disclosure, the detection result can be produced automatically by performing inference detection on the storage-space image. Based on the detection result produced automatically, it is also able to automatically emphasize the cargoes in the storage-space image and realize automatic inventory of cargoes by programmed automatic-control, thereby improving the efficiency of cargo inventorying.

Abstract: An apparatus for information collection, a cargo handling method, and a monitoring system are provided in the present disclosure. The apparatus for information collection at least includes an information collecting body and a first adjusting mechanism. The information collecting body is configured to collect information of a cargo and/or a truck. The information collecting body is mounted at the first adjusting mechanism. The first adjusting mechanism is configured to drive the information collecting body to rotate around an axis.

Abstract: A method for cargo counting, a computer equipment, and a storage medium are provided in the disclosure. The method includes the following. Three-dimensional (3D) point cloud data of a set of cargoes within a preset placement region is obtained based on a cargo-counting instruction. Whether the set of cargoes are in a first placement state is determined according to the 3D point cloud data. Based on a determination that the set of cargoes are in the first placement state, a quantity of the set of cargoes is calculated.

Abstract: A method and apparatus for forklift pickup, a computer device, and a storage medium are provided in the disclosure. The method includes the following. Observational data of a truck parking area is obtained by observing the truck parking area. Point cloud data of at least one truck is obtained in the observational data, and point cloud data of each of the at least one carrier is obtained in the point cloud data of the at least one truck. A relative pose of each of at least one carrier is determined based on the point cloud data of each of the at least one carrier. A pickup priority is determined based on the point cloud data of each of the at least one carrier.

Abstract: An antenna, an antenna assembly and a wireless communication device are provided. The antenna includes an antenna substrate; and at least one radiation unit disposed on the antenna substrate, each of the at least one radiation unit including: a first radiation branch, and a second radiation branch, where one of the first radiation branch or the second radiation branch is connected to a feeding point, the other of the first radiation branch or the second radiation branch is connected to a ground point, an end part of the first radiation branch bends toward the second radiation branch, and an end part of the second radiation branch is extend in a direction away from the first radiation branch.

Abstract: The disclosure relates to a method for warehouse storage-location monitoring, a computer device, and a storage medium. The method includes the following. Video data of a warehouse storage-location area is obtained, and a target image corresponding to the warehouse storage-location area is obtained based on the video data, where the warehouse storage-location area includes an area of a storage-location and an area around the storage-location. The target image is detected based on a category detection model, to determine a category of each object appearing in the target image, where the category includes at least one of: human, vehicle, or goods. A detection result is obtained by detecting a status of each object based on the category of each object, where the detection result includes at least one of: whether the human enters the warehouse storage-location area, vehicle status information, or storage-location inventory information.

Abstract: A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.