abstract: The work focused on collecting imaging measurements of various substances present within a landfill, which were analyzed in a controlled environment using a digital multispectral SpeCtroscoPe (SCP). This sensor is designed to perform spectrophotometric measurements with 12 LEDs that emit light radiation in the visible (VIS) and near-infrared (NIR) ranges. The signal is collected by a photodiode and converted into a current signal, which is acquired and used as a dataset. The dataset was processed and analyzed with advanced machine learning tools such as a Multi-Layer Perceptron model (MLP). The collected data were then processed with machine learning methods to create algorithms that allow for the automatic sorting of waste within a landfill.

keywords: Printing;Light emitting diodes;Machine learning;Color;Modeling;Internet of Things;Materials;Landfills;Plastics;Conferences;spectrophotometry;LED;environment;plastics;recycle

url: LED Multispectral Sensor in Recycling Garbage | IEEE Conference Publication | IEEE Xplore