This repository contains the software and hardware for a low-cost and handheld system for the identification of plastic types based on discrete near infrared (NIR) reflectance spectroscopy.
Currently only previously trained plastic types can be detected by the machine learning algorithm. This way the reremeter is not practically useful and should not be built for the purpose of detecting plastic.
It is still a good project for spectroscopy, signal processing and machine learning labs.
Currently only previously trained plastic types can be detected by the machine learning algorithm. This way the reremeter is not practically useful and should not be built for the purpose of detecting plastic. It is still a good project for spectroscopy, signal processing and machine learning labs.