Raspberry Pi based image processing for automated Object sorting using shape and color
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DC motorAbstract
Nowadays sorting is very important in production. Because of the increases of production and in some factories, the objects are manually sorted by hand workers, and in many cases, people need to sort a large number of objects in a short period of time and these objects may be very large and more weight that a person cannot bear. So, the automated sorting object is needed to take place the manual sorting. So, in this paper we make automated object sorting system, and we will discuss about sorting object automatically based on shape and color. We use raspberry pi 3 B+ which is processing and controlling unit. First the DC motor will drive the object to the camera which will scan the object to detect the color and shape. Then the servo motor will drive the object to bin. and motor driver to drive DC motor.
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Druzhkov, P.N., Erukhimov, V.L., Zolotykh, N.Y., Kozinov, E.A., Kustikova, V.D., Meerov, I.B. and Polovinkin, A.N., 2011. New object detection features in the OpenCV library. Pattern Recognition and Image Analysis, 21(3), p.384
Ferdoush, S. and Li, X., 2014. Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Procedia Computer Science, 34, pp.103-110. Moya, I.A. and Studer, P.A., National Aeronautics and Space Administration (NASA), 1992. Flexible robotic arm. U.S. Patent 5,142,932
Pereira, V., Fernandes, V.A. and Sequeira, J., 2014, September. Low cost object sorting robotic arm using Raspberry Pi. In Global Humanitarian Technology Conference-South Asia Satellite (GHTC-SAS), 2014 IEEE (pp. 16). IEEE
Pereira, V., Fernandes, V.A. and Sequeira, J., 2014, September. Low cost object sorting robotic arm using Raspberry Pi. In Global Humanitarian Technology Conference-South Asia Satellite (GHTC-SAS), 2014 IEEE (pp. 16). IEEE
Chandra Sekhar Nandi, Bipan Tudu, and Chiranjib Koley, Member, IEEE, “A Machine Vision-Based Maturity Prediction System for Sorting of Harvested Mangoes”, IEEE transactionson instrumentation and measurement, vol. 63, no. 7, july 2014.
J. Lastra, J. and I. Delamerm, "Semantic web services in factory automation: Fundamental insights and research roadmap", IEEE Transaction on Industrial Informatics, 2, 1-11, 2006.
Viren Pereira, Vandyk Amsdem Fernandes and Junieta Sequeira, “ Low cost object sorting robotic arm using raspberry pi”, 2014 IEEE global humanitarian technology conference, Sept 27, 2014.
M. Lindenbaum, "An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition", IEEE Trans. on Pattern Analysis and Machine Intelligence, 2006.
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