UWB Elderly Care Monitoring
Real-time UWB activity tracking and emergency fall detection for elderly care.
Developed a real-time indoor monitoring system using Ultra-Wideband (UWB) transceivers, ESP32 microcontrollers, and custom Python ML models for activity classification and fall detection.Designed data preprocessing pipelines to filter signal noise and calculate high-accuracy micro-positioning metrics in indoor environments.Integrated Telegram APIs for automated immediate emergency alerts to caregivers when abnormal movement patterns or falls are detected.
Privacy-Preserving Indoor Tracking
Unlike camera-based systems that compromise privacy, UWB RF transceivers track indoor micro-movements accurately without optical surveillance, respecting user privacy in home environments.
Embedded Intelligence & Telegram Alerts
Motion vector streams processed on ESP32 microcontrollers trigger classification models, instantly dispatching actionable alerts and telemetry to caregivers over Telegram.