Azure-Samples/edge-aio-in-a-box

Azure IoT Operations with Edge AI in-a-Box

38
/ 100
Emerging

This toolkit helps manufacturers and plant managers integrate AI and machine learning directly into their factory floor operations. It takes data from industrial sensors and equipment, processes it locally using AI models, and produces real-time insights for tasks like quality control, energy management, and operational efficiency. The primary users are operations engineers, production managers, and quality control specialists looking to enhance their existing industrial processes with intelligent automation.

No commits in the last 6 months.

Use this if you need to deploy AI and machine learning models directly onto factory floor equipment or other edge devices to process industrial data in real time, especially when using Azure IoT Operations.

Not ideal if your AI applications don't require low-latency, on-premise data processing or are not connected to industrial operational technology (OT) systems.

industrial-automation manufacturing-operations quality-control predictive-maintenance energy-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 16 / 25

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20

Forks

7

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 13, 2025

Commits (30d)

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