Authors:
Dibet Garcia Gonzalez
1
;
Nelson Alves
1
;
Ricardo Figueiredo
2
;
Pedro Maia
3
and
Miguel Angel Guevara Lopez
4
Affiliations:
1
Computer Center Graphics, Minho University, Guimarães and Portugal
;
2
Gel Peixe, Loures and Portugal
;
3
Sociedade Industrial de Robótica e Controlo, S. A., Aveiro and Portugal
;
4
Computer Center Graphics, Minho University, Guimarães, Portugal, Centro Algoritmi, Minho University, Guimarães and Portugal
Keyword(s):
Computer Vision, 3D Reconstruction, Automation, Frozen Fish Automatic Cut, Optimization, Automated Optical Inspection.
Abstract:
The increase in fish demand poses a challenge to the food industry that needs upgrades both for: (1) offering new and diverse products and (2) optimizing it’s processing line throughput and at the same time guaranteeing the fishes’ quality and appearance. This work presents an innovative computer vision system, to be integrated into an automatic frozen fish cutting production line. The proposed system is able to perform the 3D reconstruction in real time of every frozen fish, and allows to: (1) identify and automatically separate head bone, body and tail parts of the fishes; and (2) estimate with high accuracy where cut the fishes’ body to produce the wanted slices, according to requirements (parameters) of weight or width previously defined. The experimental and statistical results are very promising and show the viability of the developed system. As main contribution (novelty) this new method is able to estimate automatically and with high precision the weight of the part correspon
ding to the body of the fishes and thus optimizing the cut of the fish slices. With this, we expect to achieve a significant reduction of fish losses.
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