Development of a plastic discriminator based on near infrared spectrum analysis

Abstract

A handy type plastic discriminator has been developed. It consists of a near infrared light source, a bundle of optical fibers, a spectroscope, an electric cooled InGaAs linear image sensor, and a CPU board for discrimination processing. Six kinds of plastic can be identified using the Soft Independent Modeling of Class Analogy.