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Distributed artificial intelligence analysis method and device

A technology of artificial intelligence and analysis method, which is applied in the field of artificial intelligence analysis, can solve the problems of high equipment performance requirements, long occupied time, high cost, etc., and achieve the effect of avoiding analysis work, avoiding repetition, and avoiding repeated analysis

Active Publication Date: 2022-04-05
浙江微能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current artificial intelligence analysis of machine vision is either centralized processing in the cloud center or collaborative processing in the cloud edge, which is relatively centralized. The performance requirements are higher, and the cost is more expensive
At the same time, when processing artificial intelligence analysis tasks, the time taken will be relatively large, and the real-time performance is poor

Method used

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  • Distributed artificial intelligence analysis method and device
  • Distributed artificial intelligence analysis method and device

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Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0023] The distributed artificial intelligence analysis method provided by this application can be applied to such as figure 1 shown in the application environment. The application environment's network includes video sources, network-connected devices, and client devices that receive video streams. Among them, the video source refers to the equipment used to collect or distribute video, such as figure 1 The network cameras IPC1 and IPC2 can also be a media server. Network connection equipment refers to various routers, switches, etc. used for networking. This application uses routers a...

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Abstract

The invention discloses a distributed artificial intelligence analysis method and device, a client initiates an artificial intelligence analysis request, a DR router sends an artificial intelligence analysis task arrangement message after receiving the artificial intelligence analysis request, the destination IP address of the artificial intelligence analysis task arrangement message is a multicast group IP address, and the multicast group IP address is a multicast group IP address. The source IP address is a video source IP address, the artificial intelligence analysis task arrangement message carries a gateway router IP address or a client IP address corresponding to the client, and the gateway router corresponding to the client undertakes a corresponding artificial intelligence analysis task after receiving the artificial intelligence analysis task arrangement message. According to the invention, the artificial intelligence analysis work is executed by the router as close as possible to the client. When a plurality of clients initiate requests, the routers executing the analysis are merged. According to the method, repeated analysis is avoided as much as possible, repeated analysis work is avoided as much as possible, and the processing potential of the routing node is fully exerted.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence analysis, and in particular relates to a distributed artificial intelligence analysis method and device. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then accurately recognizes, effectively pushes a...

Claims

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Application Information

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IPC IPC(8): H04N21/234H04N21/44H04N21/6405
Inventor 盛建勤柴建峰鲍庆丰钟杨
Owner 浙江微能科技有限公司
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