DiCiM Machine Learning Tool That Will Detect, Sort and Classify E-Waste
DiCiM is developing a highly dynamic system that is capable of detecting, sorting and classifying electrical and automotive waste.
Idener, a Spanish-based company that specialises in exploring the potential of AI and machine learning systems, is developing a highly dynamic system that is capable of detecting, sorting and classifying electrical and automotive waste.
The cutting-edge tool will be deployed as part of the Horizon Europe-funded DiCiM project, which seeks to leverage the power of artificial intelligence, machine learning and the Internet of Things to help the growth of Europe’s circular economy.
Álvaro Fernández, Project Manager at Idener, believes that the technology will generate efficiencies by helping European workers to quickly and more efficiently disassemble and recycle products that would otherwise be scrapped.
“At Idener we are collaborating with our partners on the DiCiM project to apply predictive machine learning technologies to help with the detection, sorting and classification of electrical and automotive goods.”
“These technologies will benefit workers by providing dynamic instructions helping them with the disassembly process of goods. It will enable workers to perform better at tasks that are repetitive by nature, and as such that become error prone due to exhaustion.”
“The technologies will be tailor-made for specific requirements, targeting the baseline of the circularity profit process.”
“We believe the DiCiM project is a great opportunity to demonstrate that machine learning and artificial intelligence technologies have great potential for supporting circularity in businesses because of their ability to predict trends.”
Presently, Europe recycles 42.5% of its e-waste. However, most EU member states are falling short of the 65% target set by the bloc.
The DiCiM project aims to help European countries move toward achieving that target by building a high-tech IoT-based system that can monitor the condition of products and components during their lifecycle.
The data recorded by these products will lend itself to the creation of an efficient reverse logistics system that will seek to collect and inspect goods before they are sent for sorting, disassembly, repair or refurbishment.
As such, DiCiM is developing groundbreaking solutions that can maximise the true potential circular, explains Alena Klapalová, Principle Investigator from Masaryk University.
“DiCiM speaks directly to the ambitions laid out in the European Green Deal and the EU’s Right to Repair regulations, as well as the European Union’s Digital Decade”.
“It is at the interface between the EU’s ambition to grow and support the green and digital economies”.
“Today, many companies are based on linear business models and struggle to make the transition to circular remanufacturing systems.”
“DiCiM will help to create a framework that will support businesses to circular processes that are both economically and environmentally sustainable.”
“To achieve our ambition, we have brought together experts from multiple disciplines and industries. Their complementary expertise is what drives our project forward.”
The DiCiM project is the key project in Crowdhelix’s Digital Helix. Its CEO, Michael Browne, believes that the research is indicative of the creative approaches being pursued by future-orientated experts working on ways to harness the potential of the green economy.
“Greentech will transform the world in which we live, and the way businesses and economies grow.”
“Those countries and organisations that invest in projects like DiCiM will have succeeded in establishing a competitive advantage that will quickly become apparent.”
“We have created the Digital Helix to accelerate innovation by fostering collaboration and knowledge sharing between leading researchers, innovative businesses and investors”.
“Our end-to-end open innovation platform has been specifically designed to allow researchers and industry experts to build strategic partnerships and showcase their groundbreaking innovations to end users as soon as they’re developed”.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HaDEA). Neither the European Union nor the granting authority can be held responsible for them.