At Lumisafe, our commitment to your privacy is paramount. This is why our fall detection systems, including the Lumisafe S1 and Lumisafe P1, are designed with a fundamental principle: 100% local data processing. This means that all the information gathered by our devices stays right where it belongs – on the device itself, never leaving for the cloud or external servers.

The core of this privacy-friendly approach lies in our use of Time-of-Flight depth sensor technology. Unlike traditional cameras that capture detailed visual images (RGB data), depth sensors only record distance information. This ensures that no identifiable personal or private information is ever captured. When this depth data is processed entirely on the device, it creates a robust shield around your privacy, making Lumisafe ideal for sensitive environments like public restrooms, bathrooms, and various healthcare settings.

Our advanced machine-learning models, which include algorithms for pose estimation and accurate fall detection, are also built directly into the Lumisafe devices. These models analyze the depth sensor data locally to identify potential falls. Furthermore, these models can continue to learn and improve their accuracy based on the specific environment, all without sending any data off the device. This local training capability enhances performance while maintaining strict privacy standards.

By processing all sensor data, analysis, and personalized model training locally, Lumisafe eliminates the risks associated with cloud-based data storage and transmission. There's no need to worry about data breaches, unauthorized access, or your personal information being stored on remote servers. This design choice provides peace of mind, ensuring that your safety is monitored without compromising your privacy. Lumisafe offers a secure, efficient, and truly private fall detection solution for both individual and public needs.