Delete search term

Header

Quick navigation

Main navigation

Self-learning optical sensor

At a glance

Description

The goal is to build a compact and low-cost optical sensor that can learn to classify different vegetable oils based on fluorescence spectroscopy using machine learning. The innovative approach is to use a neural network which learns by examples to classify substances without using analytical substance-specific mathematical models.

Publications