Maturity of Fruit Identifier by using TCS 3200 Sensor
S. Chitra1, T. Siva Kumar2, S.Nandha kishore3
1S.Chitra, Pursing M.Tech, Embedded System, Kuppam Engineering College, Kuppam, Chennai, India.
2Mr.T.Siva Kumar, Assistant Professor, Department of ECE, Kuppam Engineering College, Kuppam, Chennai, India.
3Dr. S. Nanda Kishore, Associate Professor, Department of ECE, Kuppam Engineering College, Kuppam, Chennai, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1611-1614 | Volume-8 Issue-5, January 2020. | Retrieval Number: D9594118419/2020©BEIESP | DOI: 10.35940/ijrte.D9594.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As we all know that India is an agricultural country here agriculture is a big part of the economy. So this industry plays very important role in Indian economy. As this is a huge industry so it need a large number of human effort. So to reduce that human effort and to increase the production we have to go for automation. For considering these things we are making this project. For identification of color we are using TCS 3200 sensor. This sensor has four LED’s with it which will emit white light on the object. Then object will reflect those rays towards the sensor which is situated in between those four LED’s. Now with the help of its construction and design sensor sense the color of the object. Here we have used raspberry pi as a controller which has been programmed previously for taking the actions. We are using python language to program raspberry pi.
Keywords: Colour Image Processing, Python Language, Automatic System For Packing.
Scope of the Article: Natural Language Processing.