A12: McDefect Solutions: Difference between revisions
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• '''Application in relevant Projects/Initiatives''': N.A. | • '''Application in relevant Projects/Initiatives''': N.A. | ||
• '''Type''': Deep Neural Models | • '''Asset Type''': Deep Neural Models | ||
• '''AI Breadth''': Transfer Learning | • '''AI Breadth''': Transfer Learning | ||
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• '''Applicable Business Category''': | • '''Applicable Business Category''': | ||
• '''License Information''': Apache License | • '''License Information''': Apache License | ||
Revision as of 09:35, 20 December 2024
• 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.
• Asset Type: Deep Neural Models
• AI Breadth: Transfer Learning
• Learning Ability:
• Related technologies: keras, opencv, sklearn, numpy, matplotlib, FastAPI, HTML/CSS/JavaScript
• Applicable Research Area:
• Applicable Technical Category:
• Applicable Business Category:
• License Information: Apache License
• Related to circularity and sustainability: No
• Audience: Manufacturing industry
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