Design and Practice of a Smart River Chief System Based on Video AI Analysis
With the rapid development of the economy and society as well as the acceleration of urbanization,river and lake ecosystems face severe challenges.To address issues such as insufficient real-time monitoring and delayed discovery of abnormal behaviors in the process of smart river chief management,this paper proposes the construction of a smart river chief system based on video Al analysis.The system includes a video analysis deep learning model system,a video surveillance data management system,and an application analysis system.Among these,the video surveillance data management system integrates multi-source video data,the video analysis deep learning model system covers model training,iterative optimization,and inference processes,while the application analysis system is used for behavior pattern recognition,risk warning,and information release.This paper explores the construction path for identifying floating objects on the water surface,recognizing swimming behaviors,identifying sand mining behaviors,and issuing warnings.By integrating video analysis technology,the system provides real-time monitoring,intelligent analysis,and early warning support for river and lake management.
river chief systemsmart river chief managementvideo surveillancevideo analysisdeep learning
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