Hangzhou Hikvision Digital Technology Co., Ltd.

Hangzhou Ezviz Software Co., Ltd.

Bin Guo

Jie Chen

Peng Wang

Haiqing Jiang

Jianhua Zhu

Bingwei Shen

Nicong Jiang

Anqiang Du

Anmin Xin

Xing Shi

Weiwei Cai

Long Zhang

Xi Chen

Renguang Feng

Yaodong Lin

Xian Chen

Quanzhan Wang

Jiale Fang

Zhenliang Hu

Yunfei Zhu

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.

Determining region attribute

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.

Dust collection equipment, method and apparatus for handling air duct exception of dust collection equipment

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.

Methods for identifying charging device, mobile robots and systems for identifying charging device

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.

Cleaning method and cleaning robot

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 (S); 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 (S). The method is applied to achieve a simple and effective detection of the target existing in the region to be detected.

Target detection method and apparatus

A method and an apparatus for storing, reading, and displaying a plurality of multimedia files are disclosed. The method for storing a plurality of multimedia files includes: obtaining file description information of each of the plurality of multimedia files to be stored, determining a file identifier according to the file description information of each multimedia file to be stored, and storing the file identifier to the file identifier data block (S); obtaining a file type and path information of each multimedia file to be stored, and storing the path information of each multimedia file to a file information data block corresponding to the file type, and sequentially storing, according to the storage order of respective file information data blocks, a file type corresponding to each file information data block to the overall information data block (S); determining storage location information of each file information data block, and storing the storage location information to an index information data block (S); and combining the file identifier data block, the overall information data block, the at least one file information data block, and the index information data block into an integrated file (S). The method stores a plurality of various multimedia files as an integrated file, which makes it convenient for a user to view the files.

Method and apparatus for storing, reading, and displaying plurality of multimedia files

Embodiments of the present application provide a method and apparatus for updating an online self-learning event detection model. The method includes: presenting, when at least one target alerting event generated by the current event detection model is detected, to a user the at least one target alerting event, so that the user provides an event result for each target alerting event based on the at least one presented target alerting event; obtaining the event result for each target alerting event provided by the user based on the at least one presented target alerting event; determining whether a target alerting event for which an event result has been provided by the user satisfies a predetermined update condition, and if so, training and obtaining a target event detection model based on at least one target alerting event for which an event result has been provided by the user and corresponding event result, and predetermined training samples; and replacing the current event detection model with the target event detection model. By means of the method and apparatus according to the present application, the current event detection model may be continually updated, and thus improving the accuracy of the online learning.

Method and device for updating online self-learning event detection model

Embodiments of the present application disclose a method and apparatus for generating an indoor panoramic video. For each of frames of the fish-eye video, coordinates of each of pixels of this frame in an image coordinate system are converted into coordinates in a spherical coordinate system to obtain a spherical coordinate system-based hemispherical fish-eye image. The frustum parameters of each of the N texture images of N viewing angles for the hemispherical fish-eye image are determined according to a shape of a preset living room. Based on the frustum parameters of each of the N texture images of N viewing angles, the N texture images of N viewing angles for the hemispherical fish-eye image are obtained. The N texture images of N viewing angles are rendered onto the N faces inside the preset living room, to generate the panoramic video image corresponding to the frame. As such, in the embodiment of the present application, a panoramic video image having a stereoscopic effect can be generated. The real-time performance for generating a panoramic video is improved, as no complicated image stitching algorithm is used. In addition, the cost for camera devices can be reduced, as there is no need for several cameras or an aerial camera.

Method and apparatus for generating indoor panoramic video

The present application provides a video encoding method, decoding method and devices thereof. The video encoding device includes a video capturing unit for capturing a video image; a processing unit for performing compression encoding on a background image in the video image to obtain video compression data and for structuralizing a foreground moving object in the video image to obtain foreground object metadata; a data transmission unit for transmitting the video compression data and the foreground object metadata, wherein the foreground object metadata is data that stores video structuralized semantic information. In the case that the moving objects are large in quantity or in size, the amount of video data can be effectively reduced and the limitation of network bandwidth during transmission can be mitigated.

Video coding and decoding methods and apparatus

The present application discloses a method and system for detecting image delay, the method comprises: for any one of image frames in an incoming data stream and a data packet of image delay detection for the image frame, displaying the image frame and analyzing the data packet; and obtaining a detected image delay Tof the image frame according to a reference globe time T for collecting the image frame obtained by analyzing the data packet and current display time Tof the image frame. In the present application, delay detection data are identified in an image frame and the collection time is based on the time of a display device, which enables to provide an automatic and accurate method and system for accurately measuring camera delay without the need of manual operation.

Method and system for detecting image delay

The present invention relates to the technical field of video monitoring application, disclosed are a video image quality diagnostic system and method thereof. In the present invention, on the basis of a video monitoring system, the video image quality diagnostic system is incorporated into the video monitoring system as a dedicated diagnostic network, thus effectively reducing the bandwidth consumption of the video monitoring system and the connecting port consumption of a monitoring device. A polling host polls each video monitoring point via software to view a video image, acquires a code stream, and simultaneously transmits the same code stream to a video image quality diagnostic server for diagnosis via the dedicated diagnostic network; the transmission of the code stream does not occupy the bandwidth of the video monitoring network. While polling each video monitoring point to view the video image, the polling host takes a screenshot of the software interface, segments the screenshot image, and then transmits the image to the video image quality diagnostic server for diagnosis via the dedicated diagnosis network, thus further reducing the bandwidth consumption of the dedicated diagnostic network.

Video image quality diagnostic system and method thereof

Disclosed are a method and a system for video stitching. After it is determined that initial mounting of cameras in a M&#xd7;N video stitching scene is completed, a reference image is selected from M&#xd7;N images corresponding to M&#xd7;N cameras; where both M and N are positive integers, at least one of M and N is larger than 1, and a rotating mirror is set in front of a camera lens of each camera; an image whose position does not meet a requirement among respective images except for the selected reference image is adjusted by controlling a rotating mirror corresponding to the image to rotate according to the selected reference image; and video stitching is performed according to an adjustment result.

Growing community of inventors

Hangzhou, China

Bin Guo