Falling Detection System

Fall detection system for care facilities that automatically identifies patient falls in hospitals, care homes, and clinical settings. Integrated into the EZ CARE® communication platform to enable rapid emergency response and reduce injury risk among at-risk populations.

Key Solution: SP-01 (AI Fall Detection System) Intelligent Prediction & Detection: Beyond simple motion sensing, our deep-learning algorithms analyze complex behaviors to predict fall risks in advance and enable immediate response. Non-Contact & Non-Invasive: Operating solely through AI cameras without the need for wearable sensors or bed pads, our system ensures maximum patient comfort and freedom of movement. Operational Optimization: SP-01 reduces fall-related accidents by over 95%, optimizing nursing staff management and enhancing the overall quality of hospital administration. Multilingual Support: With a robust interface supporting both Korean and English, we provide a seamless user experience tailored for the global healthcare market.

Time-of-flight and millimeter-wave radar combined with AI edge computing for continuous behavior monitoring, risk assessment, and automated anomaly reporting in healthcare settings.

AI-powered software that identifies risky behaviors in elderly individuals through continuous monitoring. The system analyzes patterns and alerts caregivers to potential safety concerns before incidents occur. Designed for implementation in home care and assisted living settings.

An integrated AI-based platform for comprehensive monitoring of elderly patients' daily activities and safety. The system combines fall detection and behavioral analysis to provide 24/7 surveillance capabilities. Enables remote monitoring by healthcare providers and family members.

Integrated software platform for stroke detection and alert management. The system processes wearable sensor data to identify stroke indicators and notify healthcare providers.

A comprehensive AI-powered platform for remote patient care and health management. It addresses aging-related healthcare challenges through home care, isolation ward, day care center, and community care solutions integrated with fall detection functionality.

Silver Eye is an AI-powered fall detection and risk behavior monitoring system designed for elderly care in home environments. The system uses intelligent sensing technology to detect falls and identify risky behaviors, enabling real-time alerts to caregivers and improving safety outcomes for aging populations.

An AI-driven system specifically designed for continuous monitoring and management of diabetic patients with real-time data collection and analysis. The platform supports early detection of complications through systematic tracking.

An artificial intelligence system that monitors patient health metrics and vital signs continuously, providing real-time analysis and alerts to medical professionals. The system assists in early detection and prevention of medical emergencies.

An AI-powered care nursing system designed to monitor elderly individuals and prevent falls. The system uses wearable devices worn during daily activities and employs AI-based analysis of human posture and body movement to detect abnormal behaviors comprehensively. It can identify specific fall risks and provide early warnings to caregivers, addressing the need for 24-hour monitoring of elderly care patients.

3D depth sensing and AI-based system for detecting patient falls, abnormal behaviors, and safety incidents in care facilities without requiring wearable devices, with real-time alerts to caregivers.