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Identification method for multilayer packaging in recycling applications
ES2961763
This technology solves the current limitations based on Near-Infrared (NIR) or artificial vision in sorting different packaging within the plastic waste fraction. The development of this terahertz (THz) spectroscopy system combined with a machine learning classifier allows the differentiation of packaging as monolayer or multilayer for subsequent selective separation. This classifier can be integrated with others inline to provide additional information about the materials forming the structure. Currently, this fraction consists of a heterogeneous mix of packaging and plastic films, with their end-of-life destination often being landfills or incineration, posing evident challenges to environmental sustainability.
ADVANTAGES - Identification of multilayer packaging within the plastic waste fraction, enabling efficient and autonomous classification versus monolayer packaging. - Generation of a high-quality multilayer fraction suitable for chemical recycling, increasing efficiency, purity, and economic return. - Improved sustainability of MSW by reducing the amount of plastic waste going to landfills and avoiding incineration, thus preventing the generation of potentially toxic substances. - The system can be integrated into existing MSW recycling lines. - Suitable for waste management companies and producers of recycled material granulate. BUSINESS APPLIC - MSW sorting facility management companies. - MSW management companies. -Manufacturers of pellets derived from recycled material.