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Computer vision for circulary Economy and re-manufacturing

Service description

We offer AI-powered computer vision solutions to optimize processes in circular economy and re-manufacturing. By identifying reusable components and assessing product conditions, the service reduces waste, enhances resource efficiency, and supports sustainable production practices.
Expected results: Reduced waste, improved identification of reusable components, enhanced resource efficiency, greater sustainability in production processes, and streamlined re-manufacturing through AI-powered assessments.
Methodology: Assessment: Review the current state of re-manufacturing processes and identify areas where computer vision can enhance efficiency (e.g., quality inspection or component identification).
Data Collection: Implement visual sensors and cameras to capture real-time images of products.
Model Development: Develop computer vision models to analyze product condition and identify reusable components.
Integration: Integrate computer vision models into the production line for real-time analysis.
Feedback Loop: Continuously refine the models to improve accuracy and adaptability in different re-manufacturing scenarios.
Target: Manufacturing & Automotive
  • Organisation: REPLY
  • Type: Experiment
  • SUT/E: AI-based computer vision systems
  • Average duration: 4.0 -- 6.0 months
  • Contact: m.diflorio@reply.it

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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