A12: McDefect Solutions: Difference between revisions

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• '''Type''': Deep Neural Models
• '''Type''': Deep Neural Models


• '''AI Breadth''':  
• '''AI Breadth''': Transfer Learning


• '''Learning Ability''': Deep Neural Models
• '''Learning Ability''':  


• '''Related technologies''': keras, opencv,sklearn,numpy, matplotlib,fastapi, HTML/CSS/JavaScript
• '''Related technologies''': keras, opencv,sklearn,numpy, matplotlib,fastapi, HTML/CSS/JavaScript

Revision as of 08:06, 27 April 2023

Short Description:  AI-powered defect detection & classification solutions for industries that cater to the initial stages of manufacturing, using transfer learning by training it for different processes (like casting, rolling, etc.), gaining knowledge from one, and applying it to other processes.

Reference, URL: https://github.com/tezansahu/McDefect

Relevant Domain/Industry: Manufacturing

Application in relevant Projects/Initiatives: N.A.

Type: Deep Neural Models

AI Breadth: Transfer Learning

Learning Ability:

Related technologies: keras, opencv,sklearn,numpy, matplotlib,fastapi, HTML/CSS/JavaScript

License Information: Apache License

Related to circularity and sustainability: No

Audience: Manufacturer



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