[PDF][PDF] Edge intelligence with light weight cnn model for surface defect detection in manufacturing industry

DS Rani, LR Burra, G Kalyani, B Rao - Journal of Scientific & …, 2023 - op.niscpr.res.in
Surface defect identification is essential for maintaining and improving the quality of
industrial products. However, numerous environmental factors, including reflection …

Discriminative feature learning through feature distance loss

T Schlagenhauf, Y Lin, B Noack - Machine Vision and Applications, 2023 - Springer
Ensembles of convolutional neural networks have shown remarkable results in learning
discriminative semantic features for image classification tasks. However, the models in the …

Siamese basis function networks for data-efficient defect classification in technical domains

T Schlagenhauf, F Yildirim, B Brückner - International Conference on …, 2022 - Springer
Training deep learning models in technical domains is often accompanied by the challenge
that although the task is clear, insufficient data for training is available. Additional to that …

FAANet: Feature-Augmented Attention Network for Surface Defect Detection of Metal Workpieces

Y Gu, J Zou, C Ma, Y Zhang, M Zhang, J Ma - International Conference on …, 2023 - Springer
Accurate segmentation of defects on the surface of metal workpieces is challenging due to
the large-scale differences and complex morphological features. To address the problem of …

Edge Intelligence with Light Weight CNN Model for Surface Defect Detection in Manufacturing Industry

LR Burra - 2023 - nopr.niscpr.res.in
Surface defect identification is essential for maintaining and improving the quality of
industrial products. However, numerous environmental factors, including reflection …

[PDF][PDF] Bildbasierte Quantifizierung und Prognose des Verschleißes an Kugelgewindetriebspindeln

IG Lanza, T Schlagenhauf - scholar.archive.org
For the realization of autonomous production machines, it is necessary to enable them to
independently assess the condition of their components and, in a medium-term step, inform …