Lumisafe utilizes advanced artificial intelligence (AI) and specialized hardware to accurately detect falls while prioritizing user privacy. Unlike traditional camera systems that capture standard video, Lumisafe employs Time-of-Flight depth sensors. These sensors measure the distance to objects in the environment, creating a depth map rather than a visual image. This is a crucial first step in ensuring that no personal or identifiable visual data is ever recorded or processed.

The depth data captured by the sensor is fed directly into the Lumisafe device, where it is processed entirely locally. This local processing is a cornerstone of Lumisafe's privacy-friendly design. The device contains powerful built-in machine-learning models. These models are specifically trained to analyze the depth data. One key model is used for pose estimation, which helps the system understand the position and movement of a person within the monitored space. By tracking changes in pose and movement patterns, the system can identify events that match the characteristics of a fall.

Another critical machine-learning model is dedicated to fall detection. This model takes the information from the pose estimation and other data points derived from the depth sensor to determine if a fall has occurred. The models are pretrained to recognize typical fall scenarios, providing high accuracy right out of the box. Furthermore, the Lumisafe device is designed to learn and adapt. The machine-learning models can continue to train locally using the specific depth data from the installation environment. This personalized training helps improve the accuracy of detection over time, tailoring the system to the unique layout and conditions of the space it monitors.

The entire process, from data capture by the depth sensor to analysis and fall detection by the AI models, happens on the device itself. No depth data or processed information is sent to the cloud or external servers for analysis. This 100% local processing guarantees that sensitive information remains private and secure within the user's environment. This makes Lumisafe an ideal solution for privacy-sensitive areas like public restrooms, bathrooms, and various healthcare settings where monitoring is needed but visual privacy is paramount.

By combining privacy-focused depth sensor technology with sophisticated, locally processed AI models for pose estimation and fall detection, Lumisafe provides a reliable and respectful way to enhance safety. This innovative approach ensures accurate fall detection without compromising the dignity or privacy of individuals. Lumisafe is set to be released in the summer of 2025. You can learn more about this technology and its applications by visiting thelumisafe.com or contacting support@thelumisafe.com for further information.