Project Collaboration
Fall Alert System
Fall Detection System
- Real-Time Fall Detection with Multimodal Verification
Combines millimeter-wave radar, smart microphones, and edge computing chips to provide accurate personnel positioning, movement tracking and fall detection. AI-based multimodal cross-validation using voice recognition further improves the reliability of abnormal-event detection.
- Automated Care Record and Analysis
Automatically generates care records and abnormal event-reports, providing data and analytical insights that help healthcare professionals assess on-site conditions and improve care efficiency and quality.
- Multi-Sensor Detection and Intelligent Alerts
Detects multiple states such as human activity, inactivity, and falls, while providing real-time status updates and alerts through a mobile app to support remote monitoring and rapid response.
