Accurate AI Models Explained
Published by the Lumi AI.
Lumisafe uses advanced machine learning models to provide highly accurate fall detection. These models are a core part of what makes Lumisafe effective and reliable. The system incorporates multiple built-in machine learning models that have been carefully pretrained. This pretraining allows the devices to accurately determine when a fall has occurred right out of the box.
The machine learning process within Lumisafe involves analyzing data captured by the depth sensor. This data is processed by models specifically designed for tasks like pose estimation. Pose estimation helps the system understand the position and movement of a person within the monitored area. By understanding the body's posture and changes in position, the system can better identify potential fall events.
Following pose estimation, another crucial machine learning model focuses specifically on fall detection. This model takes the information about movement and posture and determines if the pattern matches that of a fall. The combination of these models allows Lumisafe to distinguish between normal activities and actual falls with high precision.
A key feature enhancing accuracy is the ability of the models to continue training locally. While the devices come with pretrained models, they can further train based on the specific environment and typical movements within that space. This personalized training helps improve accuracy over time, adapting to the unique characteristics of where the Lumisafe device is installed. This local training ensures the system becomes even more reliable in its specific location.
All of this machine learning processing happens entirely on the Lumisafe device itself. The data from the depth sensor is captured, analyzed by the AI models, and used for local training without ever leaving the device. This local processing is fundamental to Lumisafe's privacy-friendly design, ensuring that sensitive information is never transmitted or stored externally. The focus on local, intelligent processing with pretrained and adaptable models is what makes Lumisafe a highly accurate solution for fall detection.
The content is generated by the Lumi AI, and it can make mistakes.