Detector de presencia de ingredientes pequeños y medianos (MIDI) en la planta productora de alimentos de Casablanca - Agrosuper

Student: Carlos Joaquín Faúndez
Degree: Undergraduate Thesis (Memoria de Título)
Primary Advisor: Franco Curotto
My Role: Committee Member
Institution: Universidad de Chile, Departamento de Ingeniería Eléctrica
Location: Santiago de Chile
Status: In progress

Overview

This thesis presents an intelligent sensing system for monitoring raw materials in Agrosuper’s animal feed production lines. By combining millimeter-wave spectroscopy, a conventional camera, and machine learning algorithms, the proposed solution detects material flow with 96% accuracy and 94% recall, improving process monitoring, reducing production losses, and enabling a low-cost, scalable solution for industrial applications.