Browsing by Author "Cuadros Zegarra, Emil"

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    An Architecture for Computational Control of an Industrial Machine for Classifying Chestnuts
    (Institute of Electrical and Electronics Engineers Inc., 2016) Álvarez Valera, Hernán; Bolivar Vilca, Edwin; Cervantes Jilaja, Claudia; Cuadros Zegarra, Emil; Barrios Aranibar, Dennis; Patiño Escarcina, Raquel Esperanza
    Nowadays, the automation of industrial machines increase the productivity and efficiency of the mass production business. These machines are mainly composed of expensive electrical and mechanical modules to achieve companies production goals. However, many of these do not have information systems capable of providing the user relevant production data. In this work, the authors present an architecture for industrial automation machines of the chestnuts selection process, obtaining some features such as efficiency, effectiveness, high free configurability and low cost of maintenance and construction. This architecture is composed by three different modules: Mechanical components module, responsible of the physical parts management which interact directly with the products. Electrical components module, responsible for transferring data between the computational and mechanical layer through sensors and programs made. Finally, computational layer, responsible for two main tasks: process the necessary selection algorithms, sending the results to the electronic layer and run an information system, used to manage basic machine control operations, and generate the production data through the time. © 2015 IEEE.
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    Automation of Chestnuts Selection Process Using Computer Vision in Real Time
    (IEEE Computer Society, 2016) Alvarez-Valera, Hernan; Bolivar-Vilca, Edwin; Cervantes Jilaja, Claudia; Cuadros Zegarra, Emil; Barrios Aranibar, Dennis; Patiño Escarcina, Raquel Esperanza
    Nowadays, chestnuts selection process in Peru is done by hand, therefore some important problems occur. People who work in this area could make a lot of mistakes because their personal situation or environment variables influence them. Fatigue, feelings, light conditions or working comfort are examples. For this reason the production may become slow and/or imprecise and think about increasing production needs to hire more employees and spend more money. In that sense, it is proposed the automation of the chestnuts selection process for industrial scale, where real time computer vision techniques are applied in order to detect products defects, that are analyzed by some external characteristics: Oval shape to detect the chestnut product and the same descriptor with color and size descriptors to detect the chestnut defects and their types. In this way, this approach allows to improve and increase the quality of the chestnuts selection for its exportation, reducing errors in the process operations. Experimental results show that the performance achieved in each chestnuts selection is 86.78 %. © 2014 IEEE.