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Automatic visual inspection of beans quality

Grant number: 17/05188-9
Support type:Regular Research Grants
Duration: July 01, 2017 - August 31, 2019
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Sidnei Alves de Araújo
Grantee:Sidnei Alves de Araújo
Home Institution: Universidade Nove de Julho (UNINOVE). Campus Memorial. São Paulo , SP, Brazil
Assoc. researchers:Cleber Gustavo Dias ; José Carlos Curvelo Santana ; Peterson Adriano Belan

Abstract

For many industrial and agricultural products, their visual properties are important factors for determining the market price and assist the choice of consumers. Basically, the quality inspection of Brazilian beans is done manually following the operating procedures established by the Ministry of Agriculture, Livestock and Supply. However, in manual processes of quality inspection usually occur some problems such as high cost and lack of standardization of results. In this context, it is important the use of computational systems for supporting such processes in order to reduce operational costs and standardize the results, generating competitive advantage to the companies. In this project, we propose the development of a computer vision system (CVS) applicable to the process of visual inspection of beans quality. It needs to able to classify the most consumed beans in Brazil, based on the color and size of the grains and recognizing the main defects. Thus, the proposed CVS can be used for automatically determine the class and the type of product which consequently impact on its market price. In addition to the implementation of the CVS, we intend to further develop a low-cost equipment applicable to the solution of the investigated problem. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GOMES DE MACEDO, ROBSON APARECIDO; MARQUES, WILSON DAVID; BELAN, PETERSON ADRIANO; DE ARAUJO, SIDNEI ALVES. AUTOMATIC VISUAL INSPECTION OF GRAIN QUALITY IN AGROINDUSTRY 4.0. INTERNATIONAL JOURNAL OF INNOVATION, v. 6, n. 3, p. 207-216, SEP-DEC 2018. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.