Smart industrial spectral cameras via artificial intelligence KU Leuven
This project works on spectral imaging. Spectral imaging allows to perceive subtle optical signals or invisible wavelengths. The technology has many industrial applications in waste or food sorting and quality control. Powerful spectral image processing algorithms based on AI and deep learning exist, but are often limited to lab environments with controlled conditions and high-quality spectral cameras. The SISCAI project will bring these ...