Bed Presence Detection System

An intelligent system designed to detect falls in elderly populations through sensor technology. The system provides real-time alerts to caregivers when falls are identified, enabling rapid response and intervention. Improves safety monitoring for senior citizens in home environments.

A wireless fall detection system that monitors patients and alerts nursing staff when falls are detected. Enables rapid response to patient emergencies.

An AI-powered monitoring system that detects patient falls and abnormal movements in real-time, enabling alert generation within 5 seconds to medical staff. This technology helps prevent serious injury by identifying fall risks and unusual behavior patterns.

Contactless detection system that provides timely notifications of patient exits in as little as 30 seconds and tracks exit rates and occupancy time. Supports proactive intervention and care tailoring.

Zero-wearable fall detection system for elderly care in residential facilities and home settings. Uses ambient monitoring technology to detect falls and track vital parameters without requiring patients to wear devices. Designed for senior living communities and domiciliary care with privacy protection.

Portable device designed to detect falls and alert healthcare staff immediately. Supports real-time patient monitoring and emergency response protocols in hospital and residential care settings.

A wearable or ambient monitoring device that detects falls in elderly patients without requiring active button pressing. The system ensures immediate alarm activation in emergency situations for rapid assistance.

Zero-wearable monitoring system for elderly care in residential facilities and home settings. Detects falls and monitors vital parameters using ambient sensing technology while maintaining complete privacy. Designed for senior living communities and assisted living environments.

An intelligent multi-parameter health detection system that automatically measures and records multiple vital signs simultaneously. Designed for integration into smart healthcare facilities and public health infrastructure.

An AI-based wearable system utilizing TOF and mmWave sensors to detect abnormal body movements and postures in elderly care settings. The system provides real-time alerts for fall risk and unusual behavior patterns, enabling proactive intervention by caregivers.

A radar-based sensor system designed to detect falls in elderly patients and vulnerable populations. It is integrated into home care, isolation ward, and community care solutions to enhance safety and quality of life.

An electronic detection system designed to support clinical examination rooms, outpatient departments, and healthcare staff in performing examinations and providing simple treatment during the urinary incontinence detection process. The system provides multi-position support throughout the medical workflow.