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The image features a structured diagram divided into two main sections labeled "Components" on the left and "Use Case" on the right. The "Components" section includes various elements such as "Deep Learning Project," "Database," "AI Node/s," "AI Core," "Server," and "Queue," each accompanied by descriptions explaining their functions. The components are interconnected with circular icons representing communication. The "Use Case" section displays a user interface of a web application titled "ATWDM Client," showcasing a file upload feature with buttons labeled "Upload," "Add Images," "Settings," and "Status." Below the interface are thumbnails of uploaded images, indicating their filenames and completion status. The background is primarily white, with significant elements outlined in soft gray and teal colors for clarity. The bottom of the diagram is marked with "Fraunhofer Edge Cloud."

Web App for Automated Tool Wear Detection and Measurement


Summary

A concept for a web application was developed to deploy and use AI-based image processing algorithms. The web app, deployed on the Fraunhofer Edge Cloud, allows non-programmers to analyze cutting tool wear using AI.

Topic Fields
Data Analytics
Published2021
Involved Institutes
Project TypeICNAP Research/Transfer Project
Responsibles

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