Lumisafe utilizes advanced AI technology to provide highly accurate and reliable fall detection. At the heart of our system are sophisticated machine learning models built directly into the Lumisafe device. These models are specifically designed to analyze data captured by the device's depth sensor.

The AI system includes multiple pre-trained models. One model focuses on pose estimation, understanding the position and movement of individuals within the monitored space. Another model is dedicated to fall detection, identifying specific patterns in the pose and movement data that indicate a fall has occurred. By combining these models, Lumisafe can accurately distinguish between normal activities and actual falls.

A key feature of Lumisafe's AI is its commitment to privacy. The machine learning models process data 100% locally on the device. This means that the depth sensor data is analyzed right where it is captured, without being sent to external servers or the cloud. This local processing ensures that sensitive information remains private and secure.

Furthermore, the AI models in Lumisafe devices are designed to learn and improve over time. They can continue to train locally using data from the specific environment they are installed in. This personalized training helps to enhance the accuracy of fall detection, adapting to the unique layout and typical activities of the space.

The use of AI, combined with the privacy-focused depth sensor technology, makes Lumisafe a powerful solution for environments where fall detection is critical, such as public restrooms, bathrooms, and healthcare facilities. The AI's ability to process data locally and learn from the environment ensures both high accuracy and unwavering privacy.

Lumisafe's AI-powered fall detection system represents a significant step forward in safety technology. It provides peace of mind through reliable detection while strictly protecting individual privacy. This innovative approach ensures that safety and privacy go hand-in-hand, offering a user-friendly and effective solution for monitoring spaces and detecting falls.