newton-machine-state-from-sensor

Name: newton-machine-state-from-sensor
Availability: InStock
Author: Archetype AI

Stream real-time IMU sensor data into the Archetype AI Machine State Lens.

Updated Apr 9, 2026

Search Tags:#streaming #sse #sensor #edge-computing #lens #machine-state #web-bluetooth

Ready to run

npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-machine-state-from-sensor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: newton-machine-state-from-sensor
Source: https://github.com/archetypeai/newton-earthquake-demo/tree/main/.claude/skills/newton-machine-state-from-sensor
Command: npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-machine-state-from-sensor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stream real-time IMU sensor data into the Archetype AI Machine State Lens to enable immediate state classification of physical systems.

Core Features & Use Cases

Real-time streaming of multi-axis IMU data from BLE, USB, UDP, or recordings into the Lens.
Cross-runtime support with Python and JavaScript/Web implementations for flexible deployment.
End-to-end session management, data windowing, and SSE-based result delivery for rapid iteration.

Quick Start

Start streaming by running the provided sensor-streaming script to feed live IMU data into the Machine State Lens.

Frequently Asked Questions about newton-machine-state-from-sensor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I stream real-time IMU sensor data for machine state classification?▼

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.

Can I use web Bluetooth to feed live sensor data into an edge computing classification model?▼

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.

Does the machine state classifier support both Python and JavaScript runtimes?▼

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.

How does server-sent events (SSE) result delivery work for streaming sensor data?▼

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.

Can I use recorded CSV files instead of live BLE sensors for machine state classification?▼

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.

What is real-time machine state classification from IMU sensors?▼

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.