Project cooperationUpdated on 16 May 2025
X-Ray Company to Identify Food Waste Within Bags in MRF - Stockholm
About
Hi,
We are helping the public municipal waste company SVOA in developing a Gain-as-you-recycle/Pay-as-you-throw system in Stockholm. The first part is ensuring that existing green bags designed for food waste actually have food waste in them and nothing else. They are transported to RUS Stockholm which is as Material Recovery Facility. We are looking for a partner that can help us determine whether or not the green bags actually contain food waste or if they have been misused for other purposes. This will determine their treatment solution.
Looking forward to hearing from you. Please contact hossein@locallife.se and raeesah@locallife.se with your suggestions.
Sincerely,
Hossein
Stage
- Already defined
Topic
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
Type
- Consortium seeks Partners
Organisation
Similar opportunities
Project cooperation
Euraka & Horizon Project Oppotunity
- Early idea
- Expertise offered
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
Hakan Bozcu
Senior Innovation Projects Specialist at Eczacıbaşı Building Products
Bilecik, Türkiye
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Aysegul gündüz
Founder at Loopifyr
İstanbul, Türkiye
Project cooperation
Advanced Functional Nanofiber Sensors
- Early idea
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Enabling technologies | Network design of reverse supply chains
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | Robotic / handling - and assistance systems
- Data technologies | (AI based) process and system control technologies
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- 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
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
- 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)
Seda Koksal Yegin
Co-Founder, CTO at Ion Membranes Company
Istanbul, Türkiye