An Automated Edge-to-Cloud Telemetry Pipeline for Non-Invasive Feline Behavioral and Health Tracking

This paper presents an automated, full-stack IoT architecture designed to monitor feline health and behavior non-invasively at the edge. By utilizing low-cost edge sensors and an asynchronous cloud-based telemetry pipeline, the system captures kinetic and environmental data while minimizing bandwidth usage through local threshold filtering. The framework incorporates a lightweight Matrix Profile primitive to identify behavioral anomalies, offering a scalable, un-intrusive solution for longitudinal feline health management.