AI BEDSIDE FALL PREVENTION

Prevent the fall
before it happens.

Camera-free mmWave sensing and Edge AI identify bed-exit risk and alert care teams before a high-risk patient leaves the bed.

Bed-exit prevention video preview

Camera-free • Edge AI processing • Real-world deployment

THE CHALLENGE

A fall can happen
in seconds.

High-risk patients can attempt to leave the bed quickly, often between routine checks. Falls can lead to serious injury, longer hospital stays and higher care costs. Early detection and timely response make a real difference.

42%*of all reported clinical incidents in HA hospitals were falls.
129*severe inpatient falls (SI 4–6) were reported in 2023/24.
>95%*of reported falls were mild; severe falls remain a priority for targeted prevention.

Source: Hong Kong Hospital Authority report, 2023/24.

HOW IT WORKS

From motion to action.

Our system combines mmWave sensing, 3D motion understanding and Edge AI to detect bed-exit risk and alert care teams in real time.

Exploded view of the mmWave sensing device
STEP 01

Sense

mmWave sensing captures three-dimensional movement around the bed without using a camera.

→
STEP 02

Understand

Edge AI interprets movement and distinguishes ordinary activity from a bed-exit risk.

→
STEP 03

Alert

The nursing dashboard identifies the affected bed so the care team can respond.

CARE WORKFLOW

A simpler, safer workflow.

  1. 01Movement detected
  2. 02Dashboard alert
  3. 03Acknowledge
  4. 04Bedside response
  5. 05Reset
Nurse Station Dashboard showing a bed-exit risk alert for bed 715B
Care teams can identify the affected bed, acknowledge the alert and coordinate a timely response.

WHY mmWAVE + EDGE AI

Privacy without
compromising awareness.

A practical alternative to cameras, pressure mats and simple heat-map approaches.

01

Camera-free sensing

No patient imagery is captured.

02

Real-time Edge AI

Movement is interpreted locally for rapid response.

03

3D motion understanding

Understands movement in space, not just pressure on a bed.

BUILT FOR REAL CARE ENVIRONMENTS

Proven in real-world use.

Our system has been tested and deployed in real hospital environments, with extensive validation data.

AI TESTING & VALIDATION5,500+Data samples used to test and validate the AI
REAL-WORLD PROOF1,000+Operating hours in a real hospital environment
DEPLOYMENTWards + ICUDeployed in real inpatient and intensive-care environments

*Figures relate to the Bedside Fall Prevention programme.

DEPLOYMENT

Designed around
your care environment.

We work with healthcare organisations to fit the system into existing beds, workflows and operational requirements.

Bed adaptation

Fits different bed types and layouts.

Calibration

Optimised for the real environment.

Dashboard integration

Connects alerts with care-team operations.

Algorithm refinement

Improves detection with validated real-world data.

Local support

Training and ongoing technical support.

Custom deployment

Tailored implementation planning around each site.

A SAFER TOMORROW STARTS TODAY

See innovation in action.

Tell us about your care environment and we’ll show you how Gulu Innovation can support your needs.

Request a Demo