Title :
A method of hub auto-recognition on line
Author :
Liukui, Chen ; Zuojin, Li ; Ying, Wu ; Xiang Yi
Author_Institution :
Coll. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
The wheel manufacturers are always puzzled by the low efficiency and high error rate of manual testing and classification on the automobile hub production lines, because the workers easily feel confused and tired when having a long time of visual observation. This paper presented a mechanized method applied in the non-contact and auto hub recognition on line, which used the capture of the optical digital image to hub, SIFT(Scale Invariant Feature Transform) features extraction and matching.
Keywords :
automobile manufacture; feature extraction; transforms; automobile hub production lines; features extraction; features matching; hub auto-recognition; manual testing; optical digital image; scale invariant feature transform; Belts; Feature extraction; Image recognition; Optical imaging; Optical sensors; Wheels; SIFT feature; automobile hub; recognition on line;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5921048
