Automated Vision System for Cutting Fixed-weight or Fixed-length Frozen Fish Portions

Dibet Gonzalez, Nelson Alves, Ricardo Figueiredo, Pedro Maia, Miguel Lopez

2019

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 corresponding 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.

Paper Citation

in Harvard Style

Gonzalez D., Alves N., Figueiredo R., Maia P. and Lopez M. (2019). Automated Vision System for Cutting Fixed-weight or Fixed-length Frozen Fish Portions.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 707-714. DOI: 10.5220/0007482407070714

in Bibtex Style

@conference{icpram19,
author={Dibet Gonzalez and Nelson Alves and Ricardo Figueiredo and Pedro Maia and Miguel Lopez},
title={Automated Vision System for Cutting Fixed-weight or Fixed-length Frozen Fish Portions},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={707-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007482407070714},
isbn={978-989-758-351-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automated Vision System for Cutting Fixed-weight or Fixed-length Frozen Fish Portions
SN - 978-989-758-351-3
AU - Gonzalez D.
AU - Alves N.
AU - Figueiredo R.
AU - Maia P.
AU - Lopez M.
PY - 2019
SP - 707
EP - 714
DO - 10.5220/0007482407070714