How might we detect different materials in the environment by using spectral imaging?
- Client (Year): Fraunhofer IOSB (2014)
- AI/Tech: Spectral camera, image recognition
- Design: Exhibition design & UX
- Industry: Science
Spectral finder at the Cebit 2014
Hyperspectral cameras and innovative processing methods can detect different materials where the human eye cannot. The research project focused on other target groups. Therefore, the design presented.
Use Cases Validation
(1) Materials detection can be used in mining. Even in the darkness, the camera can detect mineral differences on the surface. (2) It can be used to detect rotten food in food processing. (3) In environmental monitoring, it is easy to detect if an oil pipeline has a leak or find a particular plant in a forest.
Environmental monitoring through hyper-spectral visioning
The Challenge
The challenge for this project was to present some use cases to explain the software-hardware solution's capability without limiting the visitors' imagination. The fair was a soundbox for the team to get feedback on their idea.
The Exhibition Design
The exhibition design was intended to invite visitors to ideate more use cases for different industries. The goal of the science team was to establish new industry relationships.
Material Wall
My Contribution
I helped to design the concept of the exhibition design for the CeBIT. We presented five different use cases on a large background image and included material for detection. The fair visitors could play with the software and ideate more use cases based on our preselection, which helped the science team establish new industry contacts.
I also helped design the software's corporate identity and some print material and infographics, explaining the concept.
Thanks to
Project Lead: Dr. Wolfgang Middlemann
Research & development: Dominik Perpeet & Sebastian Wuttke