Efficient Automated Fruit and Vegetable Sorter Based on Colour Detection (June 2016)

International Journal of Electronics and Communication Engineering
© 2017 by SSRG - IJECE Journal
Volume 4 Issue 4
Year of Publication : 2017
Authors : Ramaprasad Poojary, Ravishankar Dudhe, Adithya Rajan and Sheetal Radhakrishnan
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How to Cite?

Ramaprasad Poojary, Ravishankar Dudhe, Adithya Rajan and Sheetal Radhakrishnan, "Efficient Automated Fruit and Vegetable Sorter Based on Colour Detection (June 2016)," SSRG International Journal of Electronics and Communication Engineering, vol. 4,  no. 4, pp. 30-37, 2017. Crossref, https://doi.org/10.14445/23488549/IJECE-V4I4P107

Abstract:

Middle East and Dubai in particular is well known for large number of Hypermarkets, Supermarkets and Groceries in the world. Hence there is a huge demand for consumables such as vegetables and fruits. This paper proposes a Simple and Cost effective fruit and vegetable sorter which can automatically sort the objects as per their quality (colour). The proposed method uses Open CV library for Colour detection. Entire algorithm is programmed using Python 2.7 IDE. The system makes use of Atmega 328 microcontroller for its working. Algorithm has been tested for various varieties of products and gives best result. Accuracy of the algorithm is 98%.

Keywords:

Image Processing, Open CV, Stepper Motor, Actuator.

References:

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