Real-time video analysis system and method based on edge calculation

Through edge computing, real-time analysis of video stream frame rate and delay changes, and dynamic optimization of task allocation and scheduling, the delay and accuracy problems of video analysis systems under high load and network instability in existing technologies are solved, and more efficient video analysis is achieved.

CN120602556AActive Publication Date: 2025-09-05SHANDONG RUFENG INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510792249.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-13
Publication Date
2025-09-05
Estimated Expiration
2045-06-13

AI Technical Summary

Technical Problem

Existing real-time video analysis systems find it difficult to dynamically adjust frame processing frequency and algorithms under high load and network instability, resulting in processing delays and reduced accuracy, and are unable to meet high concurrent processing requirements.

Method used

Through the real-time video analysis system based on edge computing, the changes in video stream frame rate and processing delay are analyzed in real time, task allocation is dynamically optimized, and the frame processing strategy is adjusted. In combination with edge node environmental data and network bandwidth changes, task scheduling is optimized to ensure that the frame processing strategy matches the load status.

Benefits of technology

It significantly improves the real-time performance and stability of the video analysis system, reduces latency, ensures the accuracy of analysis, and avoids performance bottlenecks caused by network problems.

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Abstract

The invention relates to the technical field of image processing, in particular to a real-time video analysis system and method based on edge computing, and the system comprises a central management and control service module, an edge computing module, an algorithm adaptation module, a node management optimization module and a network scheduling module. According to the invention, through analysis of the video stream frame rate and the processing delay change amplitude, a high-load time period can be identified in real time, task allocation can be dynamically optimized, a frame processing strategy is ensured to be matched with a current load state, system delay is reduced to the greatest extent, and meanwhile, the accuracy of video analysis is ensured; according to the method, the network influence time period can be accurately identified, task scheduling can be optimized according to network fluctuation, inaccurate analysis results or task execution delay caused by network problems are avoided, the real-time performance and stability of a frequency analysis system are remarkably improved by comprehensively considering load changes and environmental factors, and the method is suitable for large-scale popularization and application. And the performance bottleneck caused by fixed frame interval or excessive dependence on the central server is avoided.
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