TY - GEN
T1 - Automatic quality inspection of percussion cap mass production by means of 3D machine vision and machine learning techniques
AU - Tellaeche, A.
AU - Arana, R.
AU - Ibarguren, A.
AU - Martínez-Otzeta, J. M.
PY - 2010
Y1 - 2010
N2 - The exhaustive quality control is becoming very important in the world's globalized market. One of these examples where quality control becomes critical is the percussion cap mass production. These elements must achieve a minimum tolerance deviation in their fabrication. This paper outlines a machine vision development using a 3D camera for the inspection of the whole production of percussion caps. This system presents multiple problems, such as metallic reflections in the percussion caps, high speed movement of the system and mechanical errors and irregularities in percussion cap placement. Due to these problems, it is impossible to solve the problem by traditional image processing methods, and hence, machine learning algorithms have been tested to provide a feasible classification of the possible errors present in the percussion caps.
AB - The exhaustive quality control is becoming very important in the world's globalized market. One of these examples where quality control becomes critical is the percussion cap mass production. These elements must achieve a minimum tolerance deviation in their fabrication. This paper outlines a machine vision development using a 3D camera for the inspection of the whole production of percussion caps. This system presents multiple problems, such as metallic reflections in the percussion caps, high speed movement of the system and mechanical errors and irregularities in percussion cap placement. Due to these problems, it is impossible to solve the problem by traditional image processing methods, and hence, machine learning algorithms have been tested to provide a feasible classification of the possible errors present in the percussion caps.
KW - 3D imaging
KW - high speed inspection
KW - machine learning classifiers
UR - https://www.scopus.com/pages/publications/77954580039
U2 - 10.1007/978-3-642-13769-3_33
DO - 10.1007/978-3-642-13769-3_33
M3 - Conference contribution
AN - SCOPUS:77954580039
SN - 3642137687
SN - 9783642137686
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 270
EP - 277
BT - Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
T2 - 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
Y2 - 23 June 2010 through 25 June 2010
ER -