Lumisafe is designed with your privacy as the highest priority. A core feature that ensures this is our commitment to 100% local data processing. This means that all the information captured by the Lumisafe device stays right on the device itself. Nothing is sent to the cloud, external servers, or third parties.

When the Lumisafe device uses its time-of-flight depth sensor to monitor a space, the data it collects is immediately processed locally. The built-in machine learning models, including those for pose estimation and fall detection, perform their analysis directly on the device's hardware. This entire process, from data capture to analysis and detection, happens within the secure confines of the Lumisafe unit.

This local processing approach is fundamental to Lumisafe's privacy-friendly design. Unlike systems that might send data elsewhere for analysis, Lumisafe keeps everything contained. This eliminates the risk of sensitive depth data being intercepted, stored, or misused externally. It provides peace of mind, especially in sensitive environments like public restrooms, bathrooms, and healthcare facilities where privacy is paramount.

Furthermore, the Lumisafe device can even train its personalized models locally. As the device learns more about its specific environment to improve accuracy, this training also occurs entirely on the device. This ensures that even the process of making the system smarter and more accurate doesn't require sending any data off-site. We utilize open-source hardware solutions to support this secure, on-device processing capability.

By processing data 100% locally, Lumisafe offers a robust and accurate fall detection solution without compromising personal privacy. It's a key part of making advanced technology accessible and trustworthy for users and institutions alike. This commitment to local processing is a cornerstone of the Lumisafe system, set to be released in the summer of 2025.