Hospitals and healthcare facilities face the critical challenge of preventing patient falls. Falls can lead to serious injuries, longer hospital stays, and increased costs. Traditional monitoring methods can be intrusive or require constant human presence. Lumisafe offers a modern, effective, and privacy-respecting solution designed specifically for environments like hospitals, public restrooms, and other healthcare settings.

A key concern in any healthcare environment is patient privacy. Lumisafe addresses this directly with its privacy-friendly design. The system utilizes time-of-flight depth sensors, which capture only depth data, not standard visual images (RGB data). This means no personal or private information is ever captured or stored in a way that identifies individuals. All data processing, including capturing, analyzing, and training personalized models, happens 100% locally on the device using open-source hardware solutions. This ensures that sensitive patient data remains within the facility and is never transmitted externally, providing peace of mind for both patients and staff.

Accuracy is paramount in fall detection. Lumisafe devices are equipped with multiple built-in machine-learning models. These models are pretrained to accurately determine falls. Furthermore, the devices can continue to train locally based on the specific environment, improving accuracy over time for the unique layout and conditions of a hospital room or hallway. This combination of pretrained intelligence and local adaptation ensures reliable fall detection when it matters most.

Beyond privacy and accuracy, Lumisafe is designed with user-friendliness and accessibility in mind. The goal is to make advanced technology solutions more accessible to healthcare providers and to better support physically challenged and ill individuals. Lumisafe offers a more budget-friendly fall detection program compared to many alternatives, making it a viable solution for institutions managing costs. The system is designed for ease of use, integrating smoothly into existing healthcare workflows.

For larger facilities like hospitals, Lumisafe offers the Lumisafe P1. This model is specifically designed as a falling detection system for clusters of Lumisafe devices. Like the S1 model, it uses Time-of-Flight sensors and AI models, providing a privacy-friendly and high-accuracy solution scaled for public or institutional use. The P1 allows hospitals to deploy multiple devices across different areas, creating a comprehensive fall detection network.

Lumisafe represents a significant step forward in patient safety technology for hospitals. By combining privacy protection, high accuracy through advanced AI, local data processing, and a user-friendly, budget-conscious design, it provides a robust solution for fall detection in critical healthcare environments. Lumisafe is set to release in the summer of 2025. Healthcare professionals interested in learning more can visit https://thelumisafe.com or contact support@thelumisafe.com for inquiries.