A Calibrated Hybrid Edge Framework for Elevator Safety Warning with Statistical Anomaly Detection
This paper presents a calibrated hybrid edge framework for elevator safety warning. The framework combines interpretable safety rules, robust statistical anomaly scoring, one-class anomaly-detection baselines, temporal persistence, and structured event logging on a Raspberry Pi platform. The prototype integrates accele...