Projects and products - Fraunhofer IOSB

Our research and development work happens within the framework of projects - these include equally R&D contracts with industrial customers, publicly funded (collaborative) research projects, and pre-competitive research projects funded by Fraunhofer. You can browse through many of these projects below - as well as products, i.e. results of our R&D activities that have reached a high level of technological maturity.

Please note:

The most recently updated projects and products are displayed first.
You can filter the list by department or business unit assignment as well as by free-text search terms - but for the latter, the spelling must be exact.

Fruit and vegetable scanner for wholesale quality assessment

Determining the degree of freshness and ripeness of fruits and vegetables with the help of various sensors and artificial intelligence opens up new possibilities for the anticipatory handling of food.
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Smart Agriculture - Digitization in Agriculture

The project "Smart Agriculture" aims at the automated collection of data on complex interrelationships in field farming and, based on this, to support decision-making processes in the value creation network.
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SmartSpectrometer - Intelligent process analytics for Industry 4.0

© Fraunhofer IOSB / indigo

Cost-effective modular quality and process control: The intelligent spectrometer system "SmartSpectrometer" enables the monitoring of quality-relevant material parameters in real time.
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Common Learning Middleware (CLM)

© Pixabay

The Common Learning Middleware (CLM) makes it possible to combine different teaching/learning technologies in a common infrastructure.
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Digitale game based learning framework

Serious game development is complex, especially when following the ideas of digital game-based learning. It is time-consuming, labor-intensive, and expensive. Communication with professional game developers can be difficult, not only because of the frequent change of personnel.
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MODAPTO - Modular manufacturing and distributed control via interoperable digital twins

MODAPTO aims to develop a toolkit for modular production using interoperable digital twins and distributed & collective intelligence.
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DAKIMO - Data and AI as enablers for sustainable, intermodal mobility

Economic efficiency, sustainability, ecology and individuality: Intermodal mobility - the use of different modes of transport on one route - has great potential. But the complexity must remain manageable. In other words: Getting to your destination intermodally, for example with a combination of (rental) bike, public transport and e-scooter, must be as easy and pleasant as reaching for your own car key.
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ASKIVIT: Extracting raw materials from bulky waste

Recovery of wood, wood-based materials and non-ferrous metals from bulky waste using automated sorting

Waste wood recovery from bulky waste using Artificial Intelligence and Image Processing in the VIS, IR and Terahertz Range
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InnoTeer: Recycle material from roads sustainably

Fraunhofer develops recycling process for tar-containing road debris

In the "InnoTeer" project, the Fraunhofer Institutes IBP, IML, IOSB and UMSICHT are now developing a multistage process to efficiently process tar-containing road debris in decentralized plants, because about 3.3 million tons of tar-containing road debris are produced in Germany every year: Two million tons of it end up in landfills.
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DigiVine – Optics and Image Exploitation for Digitalization in Viticulture

Collaborative project “Digitalization within the value-added chain network viticulture – from planting to grape delivery”

© Federal Ministry of Food and Agriculture

Digitalization in the value network: The project aims to achieve near-natural and environmentally friendly viticulture while saving resources and costs – in other words, sustainability and increasing labor efficiency.
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