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Video analysis method in edge cloud environment

A technology of video analysis and cloud environment, applied in neural learning methods, television, closed-circuit television systems, etc., can solve problems such as waste of resources, achieve easy migration, reduce the risk of leaking user privacy data, and enhance the effect of responsiveness

Inactive Publication Date: 2019-10-29
江苏慧中数据科技有限公司
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AI Technical Summary

Problems solved by technology

In the centralized cloud computing mode, the video is directly uploaded to the cloud data center. The transmission of video data will not only occupy a large amount of bandwidth resources, but also a large amount of content in the video is not necessary for processing, which inevitably leads to waste of resources.

Method used

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  • Video analysis method in edge cloud environment
  • Video analysis method in edge cloud environment
  • Video analysis method in edge cloud environment

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] In describing the present invention, it should be understood that the accompanying figure 1 The "intersection 1", "intersection 2", "cloud icon server" and so on indicated in represent the location of the method. For the sake of simplification, it is only assumed that there are two edge computing tasks at traffic intersections, which does not mean that the present invention is limited to Two edge devices and a cloud server. also, figure 2 The terms "Inception–v4", "Interframe Difference", "Faster RCNN", "Raspberry Pi", "Pi Cam", "PostgreSQL" and other terms marked in the document are only for the purpose of describing this description clearly, not for practical application The equipment or method used in the above needs to be fixed, so it should not be understood as a limitation of the present invention. In addition, the ca...

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Abstract

The invention discloses a video analysis method in an edge cloud environment. The method comprises the following steps: preprocessing video data at an edge end, sending a foreground image to a next edge device for model reasoning through an MQTT message transmission protocol, classifying and identifying targets appearing in a video, and finally uploading a classification result to a cloud database. The method has the characteristics of reducing the transmission load, reducing the bandwidth loss, and improving the recognition precision and recognition speed of the neural network model.

Description

technical field [0001] The invention belongs to the technical field of edge computing, and in particular relates to a video analysis method in an edge cloud environment. Background technique [0002] With the rapid development of the Internet of Things, big data, and cloud computing technologies, the number of edge sensors and monitoring devices is also increasing rapidly in the environment of the Internet of Everything, and generates data. These massive data need to be processed in a timely manner. Otherwise it will cause a lot of congestion. However, due to the limitations of bandwidth and resources in the existing centralized cloud computing service mode, it is no longer possible to process the data generated by these devices in real time and efficiently, and directly uploading the original data collected by the edge to the cloud will inevitably cause network bandwidth load and waste of computing resources. [0003] These devices will generate a large amount of data rel...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08H04N7/18
CPCG06N3/04G06N3/08H04N7/181G06V20/41G06F18/241
Inventor 杨树森李颖惠永昌
Owner 江苏慧中数据科技有限公司
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