SmartRecycling-UP
- Bremen, Germany
- January 2022
- Deutsches Forschungszentrum für Künstliche Intelligenz
The general objective of the SmartRecycling-UP project is to achieve a significant improvement in the recycling rate and quality of large-scale waste (bulky waste, construction waste, etc.) by automating processes that were previously carried out manually. In particular, the technical prerequisites for automating the pre-sorting of large-sized waste are to be created and demonstrated. The new technology is expected to significantly increase the efficiency of the sorting process, the quality of the waste types presented and made available for recycling, and the cost-effectiveness of sorting or recycling.
- Closed source
- 90/10/0 (% m/f/d)
- Public
Project stage (in ):
Research/planning
Implemented by:
Inhouse
Industrial Sectors:
Water supply; sewerage, waste management and remediation activities, Recycling
Usage of AI:
Computer Vision, Data Management and Analysis, Robotics, Human-Computer Interaction
Generation of AI:
Traditional Machine Learning (Linear Regression, CART, SVM, etc.)
Model training:
I am not sure
Contact
Responsible Person
Dr. Thomas Vögele
Motivation and values
What in your view defines the public interest and how does your project meet this purpose?
The results of SmartRecycling-UP will contribute substantially towards the way we can sort bulky waste. With the new capabilities, developed in the project we can increase the recycling quote of our industrial partners and contribute towards a greener future.
How did the idea of your project come about?
Internal in our organization
What is the goal of your project in relation to the public interest?
The results of SmartRecycling-UP will contribute substantially towards the way we can sort bulky waste. With the new capabilities, developed in the project we can increase the recycling quote of our industrial partners and contribute towards a greener future.
Design & Safeguards
Which stakeholders were involved in the process of development and implementation of the project?
Developer, Academic researcher, Industry partners
How did you engage relevant stakeholders?
Social media outreach
Have the project results been validated by third parties?
No
Have the design and the results of the project been made transparent to the public?
No
In what way have the design and the results of the project been made transparent to the public?
Involving the people who will be affected by the project is a necessary part of the project design
5
Which direct channels for feedback exist?
User workshops
How did you verify the accuracy and robustness of your system?
Experiments
What technical and organizational safeguards have you implemented to protect personal data and mitigate possible harms? Choose all that apply
User control (consent, update, retract)
Do you take measures in regards to ecological sustainability of your project? Please elaborate.
It is all about ecological sustainability.
Is your project directly or indirectly contributing to solutions for the climate crisis or other UN sustainability goals?
Indirectly