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Projetos

CCG – Centro de Computação Gráfica

MaxCut4Fish – Research and development of an intelligent system for automatic and optimized cutting of frozen fish

2016 - 2018

The aim of the MaxCut4Fish project is to investigate and develop an intelligent and modular system of automatic cut of frozen fish that, by exploring and combining the potential of computer vision and sensorial automation, will allow to define optimal cuts for each fish according to its morphological, volumetric and weight, thus enabling, among other aspects:

  • maximizing the use of fish;
  • minimization of productive waste;
  • increasing the quality and standardization of final posts.

 

The MaxCut4Fish is an intelligent modular cutting system, allowing one of the modules to cut the posts according to the desired weight, while another module cuts according to the intended measurements, without having to stop the equipment completely for maintenance, since these are alternated/programmed.

By incorporating this state-of-the-art technology in terms of computer vision, sensory automation, and control, with minimal human intervention, it will be possible for the organizations involved:

  • gain market share;
  • diversify the client portfolio;
  • increase productivity;
  • strengthen the R & D strategy;
  • deepen the technical and scientific know-how;
  • expand the network of collaborations.

 

The CCG is responsible for the development of the computer vision and three-dimensional modeling of MaxCut4Fish. The activities of this project focus on the investigation and development of the algorithms that support 4 subsystems that will later incorporate a prototype that will be tested in an industrial environment.


Partners: SIROCO, Sociedade Industrial de Robótica e Controlo, S.A., GELPEIXE


Financing:

  • Project POCI-01-0247-FEDER-017664
  • Total eligible cost | 820.247,09 EUR
  • UE Financial Support | ERDF – 536.840,59 EUR

Website: MaxCut4Fish project

Paper: "Automated Vision System for Cutting Fixed-Weight or Fixed-Length Frozen Fish Portions"

 

 
 
 
 
 
 
 
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