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...

This paper describes safety and security challenges and best practices of the use of drones in the oil and gas industry, with consideration of the harsh weather conditions in the Northern Territories of Norway. We have described the present status of the use of drones in air, on water (surface...

In this paper we provide insights and methods for using image segmentation for the purposes of automatic corrosion damage detection. Automatic image analysis is needed in order to process all data retrieved from drone-driven industrial inspections. To this end we provide three main contributions...

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...