Fall Detection

AI-powered fall detection system using radar technology to monitor patient posture, movement, and vital signs in real-time. Designed for hospitals and elderly care facilities, the system instantly alerts nursing staff via computer workstations and mobile devices when falls or abnormal conditions are detected within 2 seconds. Integrates continuous monitoring of heart rate, breathing, bed presence, and environmental air quality.

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.

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.

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.

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.

Intelligent IP-based nurse call system that digitalizes communication, workflow management, and documentation processes across healthcare facilities. Integrates with existing infrastructure to streamline staff coordination, automate administrative tasks, and improve response times in hospitals, clinics, and care homes.

Integrated communication management system for surgical centers and hospitals that coordinates patient movements, clinical alerts, and staff notifications. Features include fall detection, patient tracking, critical event alerts, infant security, and real-time coordination of pharmacy, nutrition, and housekeeping services to optimize operational efficiency and patient safety.

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

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.

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.

Specialized communication solution for long-term care and assisted living facilities supporting resident safety and operational efficiency. Includes proactive alerts, fall risk identification tools, and improved task management capabilities.

A comprehensive home care monitoring solution that tracks patient safety status and transmits alert notifications to designated family members and emergency contacts. The system operates continuously to provide immediate notification of critical events.