An edge computing server application platform for image recognition based on cluster mode

By adopting a cluster-based edge computing server application platform in image recognition intelligent systems, the problems of high hardware cost and poor scalability are solved, and efficient image recognition and flexible expansion capabilities are achieved.

CN119090701BActive Publication Date: 2025-03-25SHENYANG ERYISAN ELECTRONICS TECH CO LTD
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Patent Information

Application Number
CN202411585486.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-03-25
Estimated Expiration
2044-11-08

AI Technical Summary

Technical Problem

The existing image recognition intelligent systems have high hardware costs and poor subsequent scalability, which has led to the inability to use AI intelligent recognition in some industries with small sizes and vertical demands, and the system scalability is limited.

Method used

The image recognition edge computing server application platform based on cluster mode is adopted. Through the distributed cluster architecture of the master-slave node mode, including the central service node and multiple edge service nodes, it uses a customized communication protocol for network communication, and realizes the operation and expansion of the image recognition algorithm model.

Benefits of technology

It reduces hardware costs, achieves the same recognition effect as existing systems, meets the needs of adding and decreasing edge computing servers at any time, breaks through the upper limit of subsequent expansion, and does not require early redundant computing resources.

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Abstract

The present invention discloses an edge computing server application platform for image recognition based on a cluster mode, which belongs to the field of edge computer server application technology. It is constructed using a distributed cluster architecture of a master-slave node mode, including a central service node and multiple edge service nodes. The central service node and the edge service node communicate with each other through a custom communication protocol. The edge service node executes the task execution platform operation process issued by the central service node, controls the operation of the image recognition algorithm model, and achieves the purpose of image recognition. The present invention solves the problem of hardware cost of the current image recognition intelligent system, utilizes the computing resources of multiple edge computing servers with lower configurations, achieves the same recognition effect as the existing system, solves the problem of subsequent expansion capability of the current image recognition intelligent system, and meets the needs of increasing and decreasing edge computing servers at any time.
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