Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5098
Title: Recognizing Industrial Manipulated Parts Using the Perfect Match Algorithm
Authors: Luís Freitas Rocha
Ferreira,M
Germano Veiga
António Paulo Moreira
Santos,V
Issue Date: 2013
Abstract: The objective of this work is to develop a highly robust 3D part localization and recognition algorithm. This research work is driven by the needs specified by enterprises with small production series that seek for full robotic automation in their production line, which processes a wide range of products and cannot use dedicated identification devices due to technological processes. With the correct classification of the part, the robot will be able to autonomously select the correct program to execute. For this purpose, the Perfect Match algorithm, which is known by its computational efficiency, high precision and robustness, was adapted for object recognition achieving a 99.7% of classification rate. The expected practical implication of this work is contributing to the integration of industrial robots in highly dynamic and specialized lines, reducing the companies' dependency on skilled operators.
URI: http://repositorio.inesctec.pt/handle/123456789/5098
http://dx.doi.org/10.1007/978-3-642-39223-8_14
metadata.dc.type: conferenceObject
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