Real-time monitoring helps healthcare providers improve safety and respond faster to falls

As populations age worldwide, healthcare systems are facing unprecedented challenges in preventing falls among elderly patients. Traditional monitoring methods often rely on periodic checks or passive alarms that can delay response times and increase the risk of injury.

To help address these challenges, Ocamar has developed a new AI-powered Fall Detection System. This advanced solution combines deep learning algorithms with multi-sensor fusion technology to continuously monitor patients' movements and detect falls or high-risk behaviors in real time. The system can be deployed across a variety of care settings and integrates seamlessly with existing nurse call systems, delivering timely alerts to help staff respond quickly.