eCare Fall Detection Radar System

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.

A radar-based sensing device designed for fall detection and patient movement monitoring. It is specifically utilized in home care, isolation ward, day care center, and community care settings to enhance safety and support for elderly patients.

AdvantSense Radar is a contactless fall detection and vital signal monitoring system for patient safety in hospital and residential care settings. The device uses radar technology to detect falls and monitor vital parameters without contact, integrating with hospital communication and management platforms to enable rapid clinical response.

A sensor-based monitoring device designed to detect patient movement and prevent falls. It provides safety alerts for caregivers when monitored patients attempt to move.

Radar Care is an intelligent convertible bed-chair system designed to prevent pressure ulcers, pneumonia, and urinary tract infections in patients with reduced mobility. Featuring automatic height adjustment, fall detection via three front sensors, and voice-controlled navigation, it supports both seated and standing positions. The device enhances caregiver safety and efficiency while improving patient outcomes across care facilities and home settings.

A portable handheld monitoring device featuring radar sensor technology. It detects patient movement and position changes for safety surveillance.

High-precision radar solution designed for detection and monitoring in demanding medical environments, combining advanced signal processing with robust hardware performance.

A contactless fall detection system using radar technology that automatically recognizes falls and unusual situations in a room, alerting family members via app. The sensor is camera and microphone-free, uses anonymous radar-based detection, and requires no batteries or active user interaction. It can be mounted on walls using adhesive pads or screws and detects emergencies within 30 to 50 seconds.

A contactless patient monitoring system that uses radar-based sensor technology to continuously measure vital signs and activity through clothing and bedding. The device mounts on ceilings or walls and detects micro-movements from heartbeats, tracks respiratory rate, sleep patterns, position changes, and occupancy. Data is transmitted to a centralized dashboard for real-time monitoring and analysis without requiring wearables, cameras, or physical contact with patients.

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.

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.

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.