Visión inteligente en el control de calidad y detección de fraudes del sector alimentario

  1. PÉREZ CALABUIG, ANA MARÍA
Supervised by:
  1. José Santiago Torrecilla Velasco Director

Defence university: Universidad Complutense de Madrid

Fecha de defensa: 23 September 2022

Committee:
  1. Mª Luz Mena Fernández Chair
  2. Antonio Tijero Cruz Secretary
  3. Íñigo Fernández Bats Committee member
  4. Miguel Lastra Mejias Committee member
  5. María de la Menta Ballesteros Committee member

Type: Thesis

Abstract

The food industry is a sector that is being heavily penalized due to the advances in food fraud, making it increasingly difficult to detect. These frauds can be of different nature. The most common refers to the addition, substitution or dilution of a product, whether or not it is not part of the composition. However, there are also other types of fraud such as labeling, falsification, documentation or diversionto other markets. That is why there are increasingly stricter rules to prevent these actions. However, the importance of stopping these activities lies in the early and rapid detection of those samples in which there is a risk of having been adulterated. Furthermore, these techniques must be non-invasive in order to ensure that, in the event that they are classified as suitable, they can be returned to the production or distribution chain, thus avoiding major economic waste...