Keep families informed and caregivers proactive with AI-powered early warning

Our remote monitoring system uses a dual-channel architecture combining non-contact millimeter-wave radar and wearable sensors to continuously capture heart rate, respiratory rate, blood oxygen saturation, and sleep structure. Our AI predictive model can identify potential risks 6–12 hours before symptoms appear.
99.9%
System Uptime
<30s
Alert Response Time
6–12h
Predictive Lead Time
5yr+
Cumulative Field Operations
Real-time ECG-grade heart rate tracking with automatic atrial fibrillation alerts
Sleep stage analysis and automatic detection of apnea events
Continuous SpO₂ monitoring with immediate low-oxygen alerts
Millimeter-wave radar instantly recognizes falls and notifies caregivers within 30 seconds
Professional engineers install on-site, deployment completed in 30 minutes
Sensors collect data 24/7, encrypted and securely transmitted to the cloud
Real-time analysis and risk scoring with trend visualization
Abnormal events notify family and caregivers via App, SMS, and phone