Fitchburg State University, USA
* Corresponding author
Fitchburg State University, USA
Fitchburg State University, USA

Article Main Content

Knowing how to manipulate the data from environment to automation control systems in industry can innovate and improve a quality of the products effectively. In plastic manufacturing, there is a need of automated control system that can recognize color and sort, count and sequentially control processing since the certain quantity of color billets mix into a batch in order to produce desired colorful products. In this paper, a color recognition sensor based on the principle of LEDs energy harvest corresponding actuator has been designed. The derivational voltage due to red, green and blue color shift in color recognition, sorting and counting automation control system is measured as a signal input of the controller that works with the reflected light properties such as the reflective harmonic energy. Sequentially, the automation control system with human machine interface (HMI) and supervisory control and data acquisition (SCADA) will monitor the quantity of diversity color products in intuitive and remote supervisory, customization or adjustments in automation processing. Furthermore, the designed device will integrate into artificial intelligent (AI) and unmanned aerial vehicle (UAV).

References

  1. Design of Colorimeter with RGB Color Sensor, a press release, Agilent Technologies Inc., April 12th 2005, pp.81-90.
     Google Scholar
  2. Horvat.G, Vinko.D, Švedek.T, LED Powered Identification Tag - Energy Harvesting and Power Consumption Optimization, 36th International Convention on Information and Communication Technology, Electronics and Microelectronics, IEEE Xplore, September 2013.
     Google Scholar
  3. Vullers.R, Schaijk.R, Doms.I, Hoof.C.V, R. Mertens, Micropower Energy Harvesting“, Solid-State Electronics, 5(3), 684-693, 2009.
     Google Scholar
  4. Frey.L, Parrein.P, Raby.J, Pellé.C, Hérault.D, Marty.M, Michailos.J, Color filters including infrared cut-off integrated on CMOS image sensor, OPTICS EXPRESS, 19(14), 13073-1380, 2011.
     Google Scholar
  5. Durmus.D, Abdalla.D, Duis.A, Davis.W, Spectral Optimization to Minimize Light Absorbed by Artwork, LEUKOS, 16(1), 45–54, 2020.
     Google Scholar
  6. Kong.Y, Nemali.A, Mitchell.C, Nemali.K, Spectral Quality of Light Can Affect Energy Consumption and Energy-use Efficiency of Electrical Lighting in Indoor Lettuce Farming, HORTSCIENCE, 54(5), 865–872, 2019.
     Google Scholar
  7. Tornari.V, Tsiranidou.E, Bernikola.E, Interference fringe-patterns association to defect-types in artwork conservation: an experiment and research validation review, Applied Physics A, 397-410, 2011.
     Google Scholar
  8. Sokolova.M.V, Fernández-Caballero.A, A Review on the Role of Color and Light in Affective Computing, Applied Sciences, 5(3), 275-293, 2015.
     Google Scholar