Recognizing motion images solid waste jumbled on a neural network with a simple tracking performed in an automatic and robotic recycling line

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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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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 Communications in Computer and Information Science (Vol. 597, pp. 116–124). Springer Verlag. https://doi.org/10.1007/978-3-319-30447-2_10

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