Applied Color Sensor Based Solution for Sorting in Food Industry Processing

  • Mohamed Amine Alaya Institute of Information Science, Faculty of Mechanical Engineering and Informatics, University of Miskolc, H-3515 Miskolc-Egyetemváros, Hungary
  • Zsolt Tóth Institute of Information Science, Faculty of Mechanical Engineering and Informatics, University of Miskolc, H-3515 Miskolc-Egyetemváros, Hungary
  • Attila Géczy Department of Electronics Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Egry József u. 18., Hungary

Abstract

The market of food products is growing significantly, and this affects commercialization and potential consumption aspects. Sorting is mandatory from efficiency and precision approaches in production. Our paper presents a simple and cost effective solution for presenting a sorter automaton (self-operating machine), with applied sensorics. The idea is to apply a color sensor (TCS3200) which analyzes any type of product by its color and sort it for the production line with the help of the servo- and stepper motors. The system will be controlled by a simple card computer. The color sensor detects the frequency of the wavelength reflected from the product and give the information to the processing logic, which translates the 3D RGB cube based data. Then the logic makes a conversion to HSL (hue, saturation, lightness) derived in degrees [0°, 360°]. The investigation of the machine has been implemented for an exemplary colored candy sorting. The resulting colors of the analyzed samples are selected in a specific calibration set of numbered color ranges. The proposed automaton and its validation are presented in details.

Keywords: applied sensorics, food industry, color sensor, automation
Published online
2019-01-22
How to Cite
Alaya, M. A., Tóth, Z. and Géczy, A. (2019) “Applied Color Sensor Based Solution for Sorting in Food Industry Processing”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(1), pp. 16-22. doi: https://doi.org/10.3311/PPee.13058.
Section
Articles