Practical spectral image analysis for industry

Spectral imaging enables new types of vision applications such as textile sorting by material, plant disease detection or sugar content estimation in fruit. However, when adopting this technology, machine vision professionals face some serious challenges. The first one is analysing images not with one or three but with hundreds of bands. How do you transform delicate statistical patterns hidden in each pixel to actionable insights? How do you build robust solutions dealing with high product and defect variability? And finally, how do you deploy your solutions processing high data volumes in real-time production?

In this presentation, we will show how machine vision experts can address these challenges without programming and machine learning expertise.