ISSN 2594-5297
58º Seminário de Laminação, Conformação de Metais e Produtos — vol. 58, num.58 (2023)
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Resumo
The paper will show approaches for enhanced surface inspection by 2D and 3D image acquisition technologies. It will show the new generation for automatic surface inspection systems, offering several field of views at highest resolution. It will show the future automatic defect classification by adding a deep learning, neural network classifier to the inspection system. Additionally, approaches to monitor all relevant aspects like hardware, detection, classification, and defect trends of the inspection system will be presented
The paper will show approaches for enhanced surface inspection by 2D and 3D image acquisition technologies. It will show the new generation for automatic surface inspection systems, offering several field of views at highest resolution. It will show the future automatic defect classification by adding a deep learning, neural network classifier to the inspection system. Additionally, approaches to monitor all relevant aspects like hardware, detection, classification, and defect trends of the inspection system will be presented
Palavras-chave
Surface inspection; Waviness recognition; Multi-channel detection; Defect detection and classificati
Surface inspection; Waviness recognition; Multi-channel detection; Defect detection and classificati
Como citar
Recker, Dominik;
Bilichuc, Roberto.
HIGHEST STEEL SURFACE QUALITY AND PROCESS EFFICIENCY POWERED BY 2D & 3D INSPECTION OF SURFACE DEFECTS AND WAVINESS RECOGNITION
,
p. 269-282.
In: 58º Seminário de Laminação, Conformação de Metais e Produtos,
São Paulo,
2023.
ISSN: 2594-5297
, DOI 10.5151/2594-5297-40387
