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AT3
AI Smart Health Care mmWave Radar Monitoring System

mmWave Radar Fall Detection System

Detecting the distance, speed and angle of objects (4D point cloud information) through mmWave radar electromagnetic wave reflection signals for people’s stance identification

Green Background

mmWave Radar

Fall Detection

Emergency Alert

to Caregivers

Cloud System

mmWave Radar Sensor

The thin, clean and lensless appearance combined with night light function is designed to put no pressure on the elderly and reduce the risk of falling in the dark.

60 GHz mmWave Radar

Enlarge the detection angle
and efficiency

High-resolution radar collects rich point cloud data, integrates edge computing modules and machine learning models, and conducts real-time data analysis and interpretation

Adopt beam forming (beam forming), beam tracking (beam tracking), Tight interworking (Tight interworking) antenna technology, improve FOV up to 120 degrees

Deep Learning Algorithm

Golden 3 seconds message processing

  • Static Clutter Removal

  • 4D point cloud information calculation

  • Multi-detection data smoothing operation

  • Contouring and Data Feature Extraction

  • Confidence level judgment

Integrated Multiple Algorithms

  • Vital Sign

  • People Tracking

  • Stance Detection

Big Data Deep Learning Model

Collecting people’s motion change data by cloud platform, and utilizing big data to train deep learning models and optimize the result of model interpretation.

Multiple Types of Fall Verification

Optimizing the accuracy of model interpretation, enhancing sensitivity and reducing false alarm.

mmWave Radar Fall Detection Demo Video

Cloud Information Dashboard

Intuitive Graphical
Interface

It will assist caregivers to know the situation about lying on the bed, falling, bed exit, space status and location at the same time.

Simultaneous Alert On Mobile Phone And Desktop

Integrated with Sleep
Record

Emergency alerts are not missed because the alerts will be sent to caregiver’s mobiles and control center with event locations. 

Tracking the on-off bed period everyday and record the rate of breathing.

Provide 24-hour security protection, early detection and rapid rescue

Bed room

  • On the bed

  • Off bed

  • Get up

  • Fall

  • Off Bed overtime

Living Room

  • ​​Stance detection

  • Fall alert

Bathroom

  • Available

  • Occupied

  • Overtime

  • Fall

No Camera Used, Maintain Privacy All The Time

Image Sensor

There have privacy issues by capturing body image when changing cloth in living room, or taking shower / bath in bathroom

mmWave Radar

Only capture point clouds of objects and protect privacy

The Comparison Of Non-contact Fall Detection Solutions

  • High Sensitivity

  • High Accuracy

  • Anti-interference

  • Can’t detect while bathing

  • Undetectable with sunlight by the window

  • Undetectable in low light

  • privacy violation issue

  • Susceptible to high temperature ​and mist

  • Low accuracy

Diversified Detection Functions

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Guarding the safety of the elderly or patients throughout the day

Fall Detection
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Detect the breathing condition of the elderly or patients make sure they they sleep well

Breath Detection
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Get out of bed notification for immediate assistance

On / Off Bed Detection
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Detect people entering, whether to enable the environmental control light control

Perception of space used
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Daily sleep pattern record and abnormal notification

Daily Sleep Record
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Automatic notification if the bathroom stays too long,

Dwell Time Detection

Program Features

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Announce the rescue with zero time difference

Real Time Detection
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Turning off lights or bathroom steam does not affect detection

High Precision
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Provide 24 hours security

Full Time Protection
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Suitable for installation in bathrooms and bedrooms

Privacy
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Fall detection system with automatic alarm

Active Detection
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Remote detection does not interfere with users

No Need to Wear
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