newton-machine-state-from-sensor

To stream real-time IMU sensor data for machine state classification, you run the provided sensor-streaming script to feed live data into the Archetype AI Lens. This enables immediate state classification of physical systems.

Yes, web Bluetooth is supported for feeding live sensor data into the classification model. The Skill supports live sensors via BLE, USB, and UDP, alongside Python and JavaScript/Web runtimes for flexible deployment.

Yes, the machine state classifier supports both Python and JavaScript runtimes. This cross-runtime support allows for flexible deployment across edge computing environments and web-based applications.

Server-sent events (SSE) result delivery works by streaming classification results back to the client over HTTP. The Skill implements SSE-based result delivery alongside session management and data windowing for rapid iteration.

Yes, you can use recorded CSV files instead of live BLE sensors for machine state classification. The Skill applies to both live sensors and CSV recordings to test and validate physical system state classification.

Real-time machine state classification from IMU sensors is the process of streaming multi-axis physical data into an AI model to identify the current state of a system. It enables immediate monitoring and anomaly detection.