A cluster processing architecture and method for intelligent analysis of large-scale monitoring nodes
A technology of intelligent analysis and processing methods, applied in the fields of computer vision and artificial intelligence, can solve problems that are difficult to achieve real-time requirements, and achieve the effect of improving practicability
Active Publication Date: 2021-09-21
深圳市睿阳精视科技有限公司
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In order to meet the requirements of real-time monitoring and intelligent analysis, the system is required to process more than ten frames of images per second, and the processing and analysis time of each frame is limited to tens of milliseconds, which is difficult to achieve real-time requirements
This dilemma will become more prominent when faced with large-scale simultaneous video access processing, such as processing dozens or hundreds of video access nodes at the same time
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0048] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in various ways defined and covered by the claims.
[0049] See figure 1 , this embodiment provides a cluster processing framework for intelligent analysis of large-scale monitoring nodes, including multiple cameras, a management server and at least one analysis device, and a camera management module, a device management module, a task management module, a video A cache module and a depth analysis module; multiple cameras are respectively connected to at least one analysis device, the analysis device is used to process and analyze the video data obtained by the cameras, and the camera management module is used to detect the status of multiple cameras and listen to the video sent by the cameras Various alarm signals, when a camera frequently sends motion detection signals, it is judged that the monitoring sce...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a cluster processing architecture and method for intelligent analysis of large-scale monitoring nodes. The cluster processing architecture includes multiple cameras, a management server and at least one analysis device. The management server is equipped with a camera management module, a device management module, and a task Management module, video cache module and depth analysis module; multiple cameras are respectively connected to at least one analysis device; the present invention connects a large number of cameras and multiple analysis devices in a large-scale monitoring network into the same system, and the system calls according to requirements Computing resources, only when there is movement in the camera monitoring scene, the dispatching system will allocate the monitoring video to the analysis device with the least computing work for analysis, so as to achieve real-time or near-real-time processing and analysis capabilities covering the entire monitoring network. In order to improve the practicability of the intelligent video analysis system.
Description
technical field [0001] The invention relates to the technical fields of computer vision and artificial intelligence, in particular to a cluster processing framework and method for intelligent analysis of large-scale monitoring nodes. Background technique [0002] As video surveillance becomes increasingly high-definition and ultra-high-definition, the scale of data increases exponentially; unlike structured data, most of the data generated by video surveillance services is dominated by unstructured data. It has brought great challenges to traditional data management and usage mechanisms. The core of the video surveillance business is data, and data is the business itself. Based on the large-scale video node parallel analysis architecture, it can bring many benefits to the video surveillance project. The parallel analysis architecture based on large-scale video nodes is more flexible, with greater scalability and flexibility, and can be deployed according to the needs of vid...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04N7/18
CPCH04L67/10H04N7/181
Inventor 涂丹徐新文朱为谢志恒胡青霞王涛徐东
Owner 深圳市睿阳精视科技有限公司