Recognition of Additive Manufacturing Parts Based on Neural Networks and Synthetic Training Data: A Generalized End-to-End Workflow

Recognition of Additive Manufacturing Parts Based on Neural Networks and Synthetic Training Data: A Generalized End-to-End Workflow

Additive manufacturing (AM) is becoming increasingly relevant among established manufacturing processes. AM parts must often be recognized to sort them for part- or order-specific post-processing. Typically, the part recognition is performed manually, which represents a bottleneck in the AM process...

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Bibliographic Details
Main Authors: Jonas Conrad, Simon Rodriguez, Daniel Omidvarkarjan, Julian Ferchow, Mirko Meboldt
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
computer vision
deep learning
image classification
synthetic training data
additive manufacturing
Online Access:https://www.mdpi.com/2076-3417/13/22/12316

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https://www.mdpi.com/2076-3417/13/22/12316

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