Privacy-First Sensor Matrix

Privacy-first sensor matrix replaces invasive wearable tracking with non-contact millimeter-wave radar and low-power visual AI to monitor elderly residents continuously. This architecture captures critical metrics like fall risk, wandering patterns, and respiratory rhythms without recording identifiable video footage, strictly preserving user dignity and regulatory compliance. Integrated edge computing modules perform real-time data cleaning, feature extraction, and false-alarm filtering locally, transmitting only encrypted anomaly signals to the cloud. By eliminating continuous surveillance dependencies, this hardware design ensures robust system stability, minimizes network latency, and aligns technological deployment with ethical elderly care standards.