KIRAMET – AI-based recycling of metal composite waste
Efficient, sensor-based particle sorting with the help of artificial intelligence. An intelligent recycling platform is designed to connect existing data along the value chain.
The metalworking industry relies on high-quality scrap metal for production. Currently, this scrap metal must be imported from Austria. The FFG flagship project, KIRAMET, aims to improve metal composite waste recycling with the help of artificial intelligence.
Against the backdrop of the European Green Deal and the Circular Economy Package, resource consumption must be reduced by 25 percent and CO2 emissions must be reduced by 55 percent by 2030, while resource efficiency must be increased significantly. Metals have a particularly high ecological footprint due to the use of raw materials, yet they are ideal candidates for recycling. As part of KIRAMET, a classification system for vehicle components is being developed for the first time to evaluate their recyclability. This system will contribute to the design of future digital product passports.
Salzburg Research is developing a data model and interfaces to standardize the provision of relevant information from the recycling process for further applications, such as data analysis. Digitalization in the circular economy enables greater transparency when reviewing compliance guidelines and helps measure and reduce the carbon footprint more accurately.
