Competitive robotized manufacturing of high specter variance, low volume product lines represents market opportunities for manufacturing companies, but cost-efficient production is challenging. In this paper, we present two main industry use cases which represent key challenges to be solved for cost...

In this paper, we present a comparison of performance for different convolutional neural networks (CNN) for automatic classification of corrosion and coating damages on bridge constructions from images. Image recordings were taken during inspections. Through manual categorization and data...