Research on Intelligent Intrusion Prevention Detection Algorithms for Offshore Platforms
In order to ensure the safety of offshore platforms and their surrounding waters,intelligent intrusion detection algorithms need to be adopted to automatically identify intrusion situations in various offshore operation areas,effectively curb the impact of external vessels on offshore operations and improve production safety management level.This article constructs the architecture of an intrusion prevention and security control system for offshore platforms.A model based on the fusion of CNN and YOLO Fastest is used for monitoring intrusion targets,improving the performance of target intrusion detection,preventing various targets from invading the work area,and ensuring the safety of offshore operations.
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