OBJECT DETECTION USING DEEP LEARNING ON METAL CHIPS IN MANUFACTURING

OBJECT DETECTION USING DEEP LEARNING ON METAL CHIPS IN MANUFACTURING

Designing cutting tools for the turning industry, providing optimal cutting parameters is of importance for both the client, and for the company's own research. By examining the metal chips that form in the turning process, operators can recommend optimal cutting parameters. Instead of doing ma...

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Bibliographic Details
Main Authors: Andersson Dickfors, Robin, Grannas, Nick
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för innovation, design och teknik 2021
Subjects:
Object detection
deep learning
machine learning
computer vision
classification
manufacturing
small object detection
Computer Sciences
Datavetenskap (datalogi)
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55068

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55068

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