Diseño e implementación de un sistema de control automático con visión artificial y redes neuronales destinado al control de calidad de alimentos

Abstract

The objective of this degree work is to design and implement anautomatic control system with artificial vision and neural networks for quality control of foods such as pears and apples. Surface contamination in fruits today affects industries and consumers, therefore, quality control is an essential process to ensure optimal food quality. The focus of the technical project is mainly based on classifying and selecting fruits with an artificial intelligence system which has a previously trained neural network and is executed on a Raspberry.