CARTIF projects

AGROVIS

Intelligent Visual Computing in the agri-food sector

Description

AGROVIS, “Artificial Vision for products/processes in the agrifood sector” is an industrial research project framed in the field of computer vision (digital enabler of Industry 4.0) associated with the agri-food sector.

The main objective is to obtain new artificial vision methodologies that can contribute to comprehensive hardware/software quality control solutions in the agrifood sector so present in Castilla y León.

 

Objectives

  • Explore technologies that open up the possibility of automatically inspecting the interior of products safely.
  • Increase the potential of automatic classification of natural texture images to achieve reliable performance.
  • Incorporate the ability to induce knowledge in machine learning systems, to learn with a single example.

Actions

  • Identify, catalogue and characterize the products of the agri-food industry in Castilla y León.
  • Analyze the non-ionizing spectral range that penetrates the matter.
  • Enhance the classification of natural textures by combining complex classifiers
  • Develop techniques for the generation of fictitious databases, from a single images.

Expected Results

Obtaining new artificial vision methodologies that can contribute to comprehensive hardware/software quality control solutions in the agrifood sector of Castilla y León.

Partners

R&D projects of regional interest aimed at excellence and competitive improvement of Technological Centers of Castilla y León-2020

CCTT3/20/VA/0003

Logo Proyectos Estratégicos Centros Empresas

Total Budget: 954.453,06 €
CARTIF Budget: 906.730,41 €
Duration: september 2020 – december 2022

Logo AGROVIS

Team

Luis Miguel González

División Sistemas Industriales y Digitales

luirod@cartif.es

Networking

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