Author
Listed:
- Hong Yu
(Fitchburg State University, USA)
- Alex Pyankov
(Fitchburg State University, USA)
- Marcus Perla
(Fitchburg State University, USA)
Abstract
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).
Suggested Citation
Hong Yu & Alex Pyankov & Marcus Perla, 2021.
"A Developed Sensor for Color Identification, Sorting and Counting Automation Control System,"
European Journal of Engineering and Technology Research, European Open Science, vol. 6(2), pages 75-80, February.
Handle:
RePEc:epw:ejeng0:v:6:y:2021:i:2:id:62363
DOI: 10.24018/ejeng.2021.6.2.2363
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