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: 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: 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: 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: A method, apparatus and system for information prompt, and an intelligent electronic door lock are provided. The method includes: when detecting that an intelligent electronic door lock performs an operation for unlocking a door, determining a target user behavior type corresponding to the operation for unlocking the door, obtains target user concern data corresponding to the target user behavior type, and generates to-be-output prompt information based on the target user concern data; wherein, the prompt information is configured for prompting a user to perform a target behavior or displaying the target user concern data, and the target behavior is a behavior corresponding to the target user concern data; and outputting the prompt information. The problem that the intelligent door lock system has a single humanized function may be solved.

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: 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: 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: A method, apparatus and system for information prompt, and an intelligent electronic door lock are provided. The method includes: when detecting that an intelligent electronic door lock performs an operation for unlocking a door, determining a target user behavior type corresponding to the operation for unlocking the door, obtains target user concern data corresponding to the target user behavior type, and generates to-be-output prompt information based on the target user concern data; wherein, the prompt information is configured for prompting a user to perform a target behavior or displaying the target user concern data, and the target behavior is a behavior corresponding to the target user concern data; and outputting the prompt information. The problem that the intelligent door lock system has a single humanized function may be solved.

Abstract: A statistical method and device for customer flow volume. The method comprises: obtaining video image information in a preset monitoring area; performing video analysis on the video image information and determining a movement direction of a first target person appearing in the preset monitoring area according to an analysis result; obtaining, through statistics, incoming or outgoing customer flow volume of the actual detection area according to the determined movement direction of the first target person; reading a first terminal identifier, detected by a WiFi detector, of a WiFi terminal apparatus carried by the first target person; judging whether the first terminal identifier is present in a preset terminal identifier database for non-customer personnel; if so, decreasing the incoming or outgoing customer flow volume by 1; otherwise, making no change to the incoming or outgoing customer flow volume.

Abstract: The embodiments of the present application provide an alarm image recording method and apparatus, the method includes: capturing a picture according to a preset frequency, and caching the picture captured each time to a buffer of the video capture device; extracting, after a preset time period since when occurrence of an event meeting an alarm condition is detected, at least two pictures from the buffer according to a time point at which the event occurs; determining the at least two pictures as alarm images and saving to the video capture device or a cloud storage server. In the present application, since the alarm image including at least two pictures may provide more abundant information than an alarm image including a single picture, the completeness of presenting the event by the alarm image can be improved. Compared with the alarm image including a video, the amount of data is reduced by at least an order of magnitude, thus reducing data amount of the alarm image.

Abstract: The present disclosure provides an image acquisition method and apparatus and a video monitoring method and system. The image acquisition method is applied in an image acquisition apparatus in a video monitoring system, wherein the image acquisition apparatus is provided with a WiFi detector and an image capturing component; the method comprises: using the image capturing component to acquire a human image containing a human body feature in a target environment; using the WiFi detector to detect and obtain unique identification information of at least one WiFi terminal located in the target environment; enabling the human image and the unique identification information of the at least one WiFi terminal to correspond to each other to generate image data of the human image containing the human body feature and the unique identification information.

Abstract: Provided are a video monitoring method and system based on smart home. In the method and the system, a triggering condition of image capturing is preset and stored, wherein the triggering condition is appearance of a specific person in an image and specific performance of the specific person; whether a current image meets the triggering condition or not is detected in real time; when a detecting result is that the current image meets the triggering condition, the current image is captured, the captured image is classified according to different specific performance of the specific person, and the classified image is stored in a timeline form; and an access right and a sending right are set for the classified image stored in the timeline form.

Abstract: A statistical method and device for customer flow volume. The method comprises: obtaining video image information in a preset monitoring area; performing video analysis on the video image information and determining a movement direction of a first target person appearing in the preset monitoring area according to an analysis result; obtaining, through statistics, incoming or outgoing customer flow volume of the actual detection area according to the determined movement direction of the first target person; reading a first terminal identifier, detected by a WiFi detector, of a WiFi terminal apparatus carried by the first target person; judging whether the first terminal identifier is present in a preset terminal identifier database for non-customer personnel; if so, decreasing the incoming or outgoing customer flow volume by 1; otherwise, making no change to the incoming or outgoing customer flow volume.

Abstract: Provided are data acquisition equipment and a method and system for sharing data between the data acquisition equipment. The method includes: acquiring a gravity sensing value detected in real time by first data acquisition equipment in motion, wherein the first data acquisition equipment is anyone piece of data acquisition equipment in a data acquisition equipment group; when it is detected that the gravity sensing value meets a preset condition, reading data acquired by the first data acquisition equipment according to a predetermined sharing rule; and sending the data acquired by the first data acquisition equipment according to the sharing rule to any at least one piece of second data acquisition equipment in the data acquisition equipment group, wherein there is a pre-established data transmission channel between the second data acquisition equipment and the first data acquisition equipment.