Abstract: Methods, apparatus and systems for determining a region attribute, and electronic devices are provided. In one aspect, a method includes: identifying a marker line in a target map, the target map being a map of a to-be-cleaned target scene, an intelligent cleaning device relying on the target map during a cleaning process, determining an enclosed region and an unenclosed region with a first position as a reference point in the target map, based on the identified marker line and an auxiliary object in the target map, the auxiliary object including a map boundary and an obstacle, the first position being a position of a preset reference object in the target map, determining the enclosed region as a user-defined cleaning region for the cleaning process of the intelligent cleaning device, and determining the unenclosed region as a normal cleaning region for the cleaning process of the intelligent cleaning device.

Abstract: CROSS REFERENCE TO RELATED APPLICATIONS The present application is a national phase application under 35 U.S.C. § 371 of International Application No. PCT/CN2021/104976, filed Jul. 7, 2021, which claims the benefit of priority to Chinese patent application No. 202010649911.2 filed with the State Intellectual Property Office of People’s Republic of China on Jul. 8, 2020 and entitled “Image Fusion Method and Device”, each of whichare incorporated herein by reference in their entirety.

Abstract: Embodiments of the present application provides an image reconstruction method and device.

Abstract: Dust collection equipment, a method and apparatus for handling an air duct exception of the dust collection equipment are provided. The method includes: receiving an air pressure value detected by an air pressure sensor, wherein the air pressure sensor is located in an air path between a blower and a dust filtering apparatus of the dust collection equipment; determining whether an abnormal event occurs in an air duct of the dust collection equipment according to the air pressure value detected in real time; and performing corresponding handling according to the type of the abnormal event, when it is determined that the abnormal event occurs.

Abstract: Embodiments of the present application provides an image reconstruction method and device.

Abstract: Methods, devices, and systems for identifying charging devices are provided. In one aspect, a method of identifying a charging device include: capturing an infrared image and a depth image of a current field of view with a depth camera; determining, according to the infrared image, that there are one or more suspected charging device areas that satisfy first specified conditions; determining, according to the depth image, that there is a target charging device area whose height relative to a depth camera is within a specified range in the one or more suspected charging device areas; and identifying the charging device according to the target charging device area. The first specified conditions indicate that a gray-scale value of each of pixels in an area is greater than a second specified value, and a number of the pixels in the area is greater than a third specified value.

Abstract: The application provides a method for accessing data of a NAND FLASH file, a device and a storage medium. The method comprises: dividing a specified storage space assigned for specified NAND FLASH files into a first storage space and a second storage space; storing the management data of the specified NAND FLASH files in the first storage space, and storing the valid data of the specified NAND FLASH files in the second storage space; reading the valid data of the specified NAND FLASH files stored in the second storage space according to the management data of the specified NAND FLASH files stored in the first storage space. The present application can simplify the reading process of the specified NAND FLASH file data, reduce the reading time and improve the reading efficiency.

Abstract: An wireless roaming method and system are provided. The method is applied to an AP and comprises: acquiring terminal information of each wireless terminal of wireless terminals currently accessing the AP; determining a roaming terminal currently in an active state from the wireless terminals according to the RSSI value and the idle duration of each wireless terminal; determining, for each roaming terminal, wireless roaming protocols supported by the roaming terminal; wherein, the wireless roaming protocols include an 802.11k-based roaming protocol, an 802.11r-based roaming protocol, and an 802.11v-based roaming protocol; performing a roaming operation on the roaming terminal according to the wireless roaming protocols supported by the roaming terminal.

Abstract: A cleaning method and a cleaning robot are provided. The method includes: after the cleaning robot obtains a cleaning instruction for a target scene, acquiring a current power of the cleaning robot and a scene map for the target scene; if it is determined that the current power is insufficient to clean all areas to be cleaned in the target scene, determining a target cleaning area from all the areas to be cleaned in the target scene, based on a target dirtiness level for each of the areas to be cleaned; cleaning the target cleaning area based on the scene map, the target dirtiness level for the target cleaning area and the current power. A more intelligent cleaning robot and a more reasonable cleaning process are realized.

Abstract: Disclosed is a method for channel switching in a wireless mesh network. The method comprises: any slave node in a wireless mesh network receiving a channel switching command broadcast by a master node to perform channel switching; the slave node determining whether the channel switching is successful; and if successful, searching for the master node or a mesh network containing the master node for networking; otherwise, exiting the current invalid mesh network, and scanning for a mesh network after the channel switching, and joining the detected mesh network. According to the present application, after channel switching is performed, a mesh network for a slave node is automatically configured, thereby making up for the defect of an existing mesh network protocol not supporting switching between different frequency bands, and realizing automatic re-establishment of a mesh connection after the channel switching is successful.

Abstract: A control method for light sources of a vision machine and the vision machine. The control method includes the following steps: activating at least one first light source among n light sources to sense spatial information of an object in a field of view; and selectively activating the n light sources according to the spatial information of a sensed object; wherein the n light sources are distributed on a periphery of a front mirror surface of a lens of the vision machine, and n is a natural number greater than or equal to 2. The embodiment of the present disclosure enlarges the field of view of the vision machine, capable of providing corresponding light illumination based on environmental requirements, reducing the interference signal caused by reflection of a single light source, expanding the sensing range of the vision machine, and improving the sensing ability.

Abstract: The embodiments of the present application provides a target detection method, which comprises: obtaining a plurality of images acquired by an image acquiring device as images to be detected when a region to be detected is illuminated by light sources with different illuminating angles, wherein the different illuminating angles correspond to the different images to be detected (S101); and determining whether a target exists in the region to be detected based on gray scale differences between the obtained images to be detected with illuminating by the light sources of with different illuminating angles (S102). The method is applied to achieve a simple and effective detection of the target existing in the region to be detected.