MULTICAM project is committed to studying the widespread use of low-cost multispectral cameras in the agriculture, transport and fisheries sectors.

Xsealence – Sea Technologies, SA, Inov – Institute of Systems Engineering and Innovation Computers, UTAD – University of Trás-os-Montes and Alto Douro and Tecmic – Tecnologias de Microeletronic, SA, are joining forces to develop a conceptual study to assess the technical and economic feasibility of producing a low-cost multispectral camera that performs early detection of product quality in various economic sectors.

Due to its innovative character, this project was chosen to be financed by the European Union and Portugal 2020 through Compete 2020.

 A project with comprehensive ambition

This project aims to develop a new low-cost multispectral camera that can be left in the field, sending images regularly to a user. The multispectral camera will be formed by an array of cameras each with a transparent optical filter at a certain wavelength. These cameras will be commanded by a controller that will be developed specifically for this task in this project. The aim is to reach a cost 10 to 20 times lower than the market price.

The analysis covers two main uses of multispectral technology: an automatic identification system for fish and its conservation status; and the non-destructive measurement of sugars in grapes, resorting to the use of artificial intelligence and machine learning algorithms.

The joint development of this technology, at the desired cost, will allow the consortium partners to position themselves in the value chain of the agricultural sectors (especially the wine sector), the transport of perishable products and fisheries, developing new solutions for these Business.

In the transport of perishable products sector, the analysis of the possibility of monitoring the transport process of vegetables and the generation of alerts for potential problems or degradation of the state of conservation of transported food products will be carried out, as well as the study of the commercial viability of a solution to monitor the evolution of perishable goods during their transport over long distances.

In the viticulture sector, the non-destructive measurement of sugars in grapes will be analyzed. For the measurement of sugars in the grape, a selection of the most suitable wavelengths will be made and these wavelengths will be used to create a spectral index that has a high correlation with the amount of sugar.

Finally, in the fisheries sector, the objective is to analyze the potential of the technology in an automatic fish identification system in fishing vessels, in which fish identification will be done by collecting image data at equally spaced wavelengths.

The identification of fish species will aim to estimate the amount of fish caught by species, in order to protect the captured species.