Abstract
In this paper, we show the vision system in recognition motion images and detection of solid urban waste (SUW) and their integration on an automatic robotic line with a simple tracking algorithm. The detection and image processing are able to detect, identify and calculate the position of the SUW and send the coordinates to a delta robot for selection. The image processing system is previously trained in a neural network. Delta robots are provided by ABB Corporation and have been programmed to select the SUW through a simple algorithm to tracking. We present the integration of these systems and we describe the automatic and robotic machine with the vision system.
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Acknowledgment
The authors wish to acknowledge the support of the CONACYT, within the program of incentives for innovation, ID: 222304 “recycling of municipal solid waste, with automated control and monitoring systems” and CIATEQ A.C. Aguascalientes.
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García-Hernández, M., Flores, A., Elizalde, E., García-Arredondo, A.J., Gutiérrez-Muro, M.A., Hevia-Montiel, N. (2016). Recognizing Motion Images Solid Waste Jumbled on a Neural Network with a Simple Tracking Performed in an Automatic and Robotic Recycling Line. In: Martin-Gonzalez, A., Uc-Cetina, V. (eds) Intelligent Computing Systems. ISICS 2016. Communications in Computer and Information Science, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-30447-2_10
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DOI: https://doi.org/10.1007/978-3-319-30447-2_10
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