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A security video monitoring system based on cloud-edge collaborative computing and its implementation method

A video surveillance system and edge computing technology, applied in closed-circuit television systems, computing, computer components, etc., can solve the problem of poor real-time information processing feedback, reduce network bandwidth pressure, reduce processing pressure, and enhance real-time performance. Effect

Active Publication Date: 2021-09-03
中科民盛安防(河南)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of massive video transmission, analysis, and storage in the centralized processing mode of the existing monitoring system, and the real-time performance of information processing feedback is not strong. The security video surveillance system and its implementation method can effectively solve the problem of massive data transmission and processing

Method used

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  • A security video monitoring system based on cloud-edge collaborative computing and its implementation method
  • A security video monitoring system based on cloud-edge collaborative computing and its implementation method

Examples

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Effect test

Embodiment 1

[0035] Embodiment 1: A security video surveillance system based on cloud-edge collaborative computing, see figure 1 , including video acquisition layer, edge computing layer, intelligent judgment module, cloud platform processing module, intelligent service module and application terminal module.

[0036] The video collection layer includes video monitoring equipment, which is used to collect video data, and transmits it to the upper layer through the form of data source for analysis and processing by the edge computing module, intelligent judgment module and cloud platform processing module; this part is mainly responsible for the collection of video data, perception The video object information is collected and uploaded to the edge computing module. The video acquisition equipment includes video acquisition terminals with serial port interface and universal serial bus interface.

[0037] The edge computing layer is composed of edge computing nodes, which are distributed betw...

Embodiment 2

[0046] Embodiment 2: An implementation method of a security video surveillance system based on cloud-edge collaborative computing, using the security video surveillance system based on cloud-edge collaborative computing in Embodiment 1, specifically including the following steps:

[0047] (1) The video acquisition layer collects video at all times, and transmits the collected video information to the edge computing layer in the form of data source every 30 seconds.

[0048] (2) The edge computing layer receives the video data stream, first preprocesses the video data, converts the format into a predetermined video format, and then performs face image detection to detect whether there is a face area, and perform feature analysis in the face area Click Extract, and the extracted result is uploaded to the intelligent judgment module to wait for the processing result.

[0049] (3) The intelligent judgment module judges the processing capability of the edge computing node through t...

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Abstract

The invention discloses a security video monitoring system based on cloud-edge collaborative computing and an implementation method thereof, including a video acquisition layer, an edge computing layer, an intelligent judgment module, a cloud platform processing module, an intelligent service module and an application terminal module. The purpose of the present invention is to solve the problems of massive video transmission, analysis, and storage in the centralized processing mode of the existing monitoring system, and the real-time performance of information processing feedback is not strong. The system implementation scheme of intelligent monitoring can effectively solve the problem of massive data transmission and processing.

Description

technical field [0001] The present invention is a face recognition (FR for short) environment system for security video surveillance, which adopts a video surveillance system based on the combination of edge computing (Edge Computing) and cloud computing (Cloud Computing). The video stream collected by the monitoring equipment is preprocessed to reduce the system's demand for storage and transmission, improve the utilization rate of edge computing nodes, reduce the processing pressure of the cloud platform, and improve the efficiency of information transmission, thereby promoting the development of edge computing technology and face recognition technology. application. The technology belongs to the fields of artificial intelligence, distributed computing, edge computing and computer network intersecting technical fields, and specifically relates to a security video monitoring system based on cloud-edge collaborative computing and its implementation method. Background techniq...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18G08B13/196G08B25/00G06K9/00
CPCH04N7/18G08B13/19602G08B25/00G06V40/161G06V40/168
Inventor 韩深谋张玉杰李红朝尚瑞华丁金坤张永亮陈鹏
Owner 中科民盛安防(河南)有限公司
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