The goal of this project is to develop an intelligent system for analyzing and managing recycled plastic samples in compliance with regulations. It involves creating an online data management platform to organize experiments and verify conformity, a computer vision system for automated quality classification using deep learning, and a quality evaluation framework based on machine learning and PCA methods.
Cadel: Study and definition of new technology for the analysis of recycled LDPE based on the intelligent processing of multispectral images
This project covers several aspects of the process for verifying compliance with regulations based on samples of recycled plastic material — from analyzing the applicable standards to developing new methods of sample processing using artificial intelligence techniques.