Lumisafe utilizes advanced depth sensor technology, specifically Time-of-Flight sensors, as a core component of its privacy-friendly fall detection system. Unlike traditional cameras that capture detailed visual images (RGB data), depth sensors measure the distance to objects in a scene. This means they create a map of the environment based on depth, not color or texture.

The primary advantage of using depth sensors in Lumisafe is privacy. Because these sensors do not capture standard visual images, there is no risk of recording identifiable personal information. This makes Lumisafe an ideal solution for sensitive areas like public restrooms, bathrooms, and healthcare facilities where privacy is paramount.

The data generated by the depth sensor is a stream of depth information, essentially representing the shape and movement of individuals within the monitored space. This depth data is then fed into Lumisafe's built-in machine-learning models. These models are specifically trained to analyze the depth information to identify human poses and detect falls accurately.

All of this processing happens locally on the Lumisafe device. The depth data is captured and analyzed right where the device is installed. This local processing ensures that no sensitive data ever leaves the device, further enhancing user privacy. The machine-learning models can even continue to train locally using the specific environment's data to improve accuracy over time.

By combining privacy-focused depth sensor technology with powerful local machine learning, Lumisafe provides a reliable and respectful way to monitor for falls. It offers peace of mind without compromising the privacy of individuals, making it a user-friendly and effective solution for various environments.