Stuttgart  /  May 09, 2023  -  May 12, 2023


International trade fair for quality assurance

Hall 7, Booth 7401

Booth of Fraunhofer Vision Alliance, Special show on non-contact measurement technology

Live on site: HSI for the areal surface and thin-film inspection

Hyperspektral Imaging (HSI)

Optical sensor technology is used in a variety of different industrial sectors - for example to check if quality criteria are fulfilled. However, a so-called 100-percent inspection is often not possible with conventional technologies, even though there is a need for it in the industries concerned. Hyperspectral imaging (HSI) has the potential to effectively close this gap.

Compared to classic RGB-based machine vision systems, hyperspectral cameras capture many more spectral bands to detect the target object's properties of interest. Different material- or topology-related surface conditions manifest themselves in a spectral change in the optical behavior of the sample section, whether through absorption, refraction or scattering. Hyperspectral technology thus enables spatially resolved surface properties to be detected and continuously monitored at high speed. For example, HSI can spatially resolve the thickness of a dielectric film, oil residues on metal or plastic webs, or the electrical resistance of an ITO layer on a glass substrate. In addition to the lateral distribution of target properties, global target parameters of a given surface can be derived from the totality of all HSI data of that surface, such as the adhesive strength of a surface or a quality classification according to the parameters "OK" or "NOK".

HSI systems from the Fraunhofer IWS can close existing technology gaps in production monitoring in a customised way.

Imanto® Obsidian

Fully integrated laboratory system for hyperspectral imaging analysis. Impurities, layer thicknesses, material changes, surface topologies and much more can be made visible and objectively evaluated in a spatially resolved manner.

Imanto® Pro

Software suite that covers the entire workflow of hyperspectral inspection, from data acquisition to data pre-processing to data evaluation (exploration, classification and recourse).