Title :
Evaluation of impacting signals and neural networks for objects detection
Author :
Molino-Minero-Re, Erik ; López-García, Mariano ; Mánuel-Lázaro, Antoni
Author_Institution :
SARTI, Polytech. Univ. of Catalonia, Barcelona
fDate :
June 30 2008-July 2 2008
Abstract :
This paper presents a study that evaluates different neural networks configurations and different impact sources, for detecting materials using impacts as the source of information. This work deals as well with objects that have similar responses when impacted, as is the case of pieces made from steel and aluminum.
Keywords :
neural nets; object detection; material detection; neural networks; objects detection; Acceleration; Accelerometers; Acoustic testing; Frequency domain analysis; Information resources; Materials testing; Neural networks; Object detection; Signal analysis; Steel;
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
DOI :
10.1109/ISIE.2008.4677257
