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CaptureLive

An innovative machine-learning fall prevention and detection system which can be used to effectively predict, detect and reduce falls

What is CaptureLive?

CaptureLive is an AI-driven HealthTech company that offers a real-time monitoring and analysis system to assists in preventing accidents and allows nursing staff to respond quickly and appropriately towards high-risk situations. The CaptureLive product is particularly applicable to the elderly and those with disabilities, especially patients with high fall risk and/or low mobility. It helps to ease the workload of caregivers, facilitating the provision of timely and necessary care to vulnerable residents and those most at risk.

CaptureLive Capabilities and Applications

CaptureLive is easily deployed.

By installing a camera in each room, it provides explainable AI-powered warnings and alerts to care-givers and healthcare staff.

Bed Exit Prediction

Alert when a high fall-risk patient or resident is trying to leave the bed.

Chair/Sofa Fall Prevention

Alert when a patient or resident is trying to transit from their chair/wheelchair.

Fall Detection

Alert when a patient or resident falls to the ground.

Sensor Mat Feature

Alert when a resident is entering the monitored areas

Nurse Call System

Alert when a resident is asking for help

Dashboard

Triage patients based on urgency streamlining workflow

And More…

Why Choose CaptureLive?

Track through furniture

Allowing falls in locations obscured by furniture to still be detected and alerted.

Detect falls with multiple people

Detect falls of multiple people in the same room.

Protect privacy

Privacy protection is offered by optional representation of monitored individuals as simple stick-figures on monitoring screens and apps.

Functions automatically

Provides immediate assistance alerts for patients who are in a compromised situation and may not have the capacity to manually activate an alarm. E.g. Falls are automatically alerted immediately upon detection.

Higher accuracy

Using a high-accuracy skeletal tracking system the AI-powered software can differentiate between actual falls and other incidents. E.g. a patient tying shoe laces or choosing to lay on the floor.

Real-time fall prevention - fall-risk assessment

Assess the risk of a fall occurring and alert nurses prior to serious falls. Can monitor the severity of falls after-the-fact and only alert of serious falls.