Falls are a significant concern in healthcare environments, posing risks to patient safety and increasing the burden on caregivers. Hospitals, nursing homes, and other care facilities constantly seek reliable and privacy-respecting solutions to detect falls quickly and accurately. Traditional methods often involve wearable devices or cameras that can raise privacy concerns or be uncomfortable for patients. A modern approach is needed that prioritizes both safety and dignity.

Lumisafe offers a privacy-friendly fall detection system specifically designed to meet the needs of healthcare settings. Unlike systems that capture standard video, Lumisafe utilizes advanced Time-of-Flight depth sensor technology. This technology captures only depth data, creating a simple skeletal representation or point cloud of the environment without capturing identifiable visual details. This ensures that the privacy of patients and staff is fully protected, a critical requirement in sensitive healthcare spaces like restrooms, bathrooms, and patient rooms.

At the core of the Lumisafe system are sophisticated machine-learning models. These models are trained to accurately detect falls by analyzing the depth data stream. The system includes models for pose estimation, understanding body position and movement, and a dedicated model for identifying fall events. These models process the data in real-time to provide timely alerts when a fall occurs, allowing healthcare staff to respond quickly and provide necessary assistance.

A key feature of Lumisafe is its commitment to data privacy through 100% local processing. All data captured by the depth sensor is processed directly on the Lumisafe device itself. This includes the initial data capture, the analysis by the machine-learning models, and even the training of personalized models to improve accuracy for a specific environment. No depth data or processed information is sent to the cloud or external servers, ensuring that sensitive information remains within the local network, further enhancing privacy and security.

Lumisafe is designed with user-friendliness in mind, making advanced technology accessible for healthcare facilities. The system aims to be a more budget-friendly fall detection program compared to some traditional solutions. Its easy-to-use interface and reliable performance make it a practical addition to existing safety protocols. For public and healthcare environments requiring coverage across multiple areas, the Lumisafe P1 solution is specifically tailored for clusters of devices, providing a scalable and effective fall detection network.

Implementing Lumisafe can significantly enhance safety protocols in healthcare settings by providing a reliable, accurate, and privacy-respecting method for fall detection. By leveraging depth sensor technology and local AI processing, Lumisafe helps protect vulnerable individuals while upholding their right to privacy. Lumisafe is set to release in the summer of 2025. To learn more about how Lumisafe can benefit your healthcare facility, please visit https://thelumisafe.com or contact us at support@thelumisafe.com.