ISICS 2016: Intelligent Computing Systems pp 116-124 | Cite as
Recognizing Motion Images Solid Waste Jumbled on a Neural Network with a Simple Tracking Performed in an Automatic and Robotic Recycling Line
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.
Keywords
Vision detection system Neural networks Image processing Delta robotic Tracking algorithm Solid Urban Waste (SUW)Notes
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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