An artificial intelligence IoT water safety monitoring system

Abstract

An artificial intelligence IoT water safety monitoring system is installed in a water area to monitor multiple targets. The system includes: at least one image capture device connected to an edge computing device via a data transmission unit, which continuously captures images of the water area and periodically takes snapshots sent to the edge computing device; the edge computing device is equipped with an AI target detection module that generates drowning or falling-into-water risk scores based on the behavior of targets in the images; at the same time, the device also incorporates a generative AI module that analyzes the snapshots to produce risk scores and textual descriptions of target behavior; when the combined risk score of any target exceeds a predetermined threshold, the system triggers a processing and alarm release module to promptly issue an alarm notification.

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