Project cooperationUpdated on 22 May 2025
AI to detect e-waste
About
Our AI would detect the value of the waste streams, their recyclability potential, their carbonfootprint. We would like to add a special feature where the AI can plug on your suppliers' data and identify which supplier can take your waste, thus creating a closed loop. This product would be particularly relevant for the semi-conductors industries, data centers, but also for the automotive sector.
Organisation
Similar opportunities
Project cooperation
Upcycling process technology within agrifood sector
- Early idea
- Already defined
- Expertise offered
- Consortium seeks Partners
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Hansol Bae
CSO at Nature Preserve ApS
Søborg, Denmark
Project cooperation
- Early idea
Ferhat Gök
Kurucu Ortak at Big A Dijital Dönüşüm Sanayi ve Ticaret Limited Şirketi
Erzurum, Türkiye
Project cooperation
FedProM: Federated Process Modeling along the Value Chain
- Already defined
- Expertise offered
- Data technologies | (AI based) process and system control technologies
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Ramin Nikzad-Langerodi
Research Team Lead Data Science at Software Competence Center Hagenberg GmbH
Hagenberg, Austria