DocumentCode :
2047088
Title :
Automatic inspection of tire geometry with machine vision
Author :
Junfeng Li ; Yuchun Huang
Author_Institution :
Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1950
Lastpage :
1954
Abstract :
On-line automatic inspection system for measuring the tire geometry is proposed with the dedicated machine vision design. A sequence of the tire images are acquired while a tire object passes through the inspection system. The tire geometry, including the cutting edge, angle and width, represents the quality of the sequential tire objects that are connected together to make the inner tire belt. A sequential line matching algorithm is developed to measure the tire geometry automatically. With the input of the standard tire model geometry, Line Detection with a Priori (LDP) is conducted to locate the candidate lines of interest in a high speed. Laser light is cast to the tire surface from a small incident angle, which robustly refine the location of the tire edge in a image. Lines of the sequential images of a tire object are matched based on their orientation and distance in the Hough space. Lots of experiments in the Aeolus Tyre manufacturing Co. Ltd, China show that, the proposed system can inspect the tire geometry consistently with the human measurement and at the same time reduce the time of measuring to 20ms. It is promising for the industrial applications of high-speed measurement of accurate geometry with low cost constraints.
Keywords :
Hough transforms; computer vision; cutting; feature extraction; image matching; image sequences; inspection; production engineering computing; tyres; Aeolus Tyre Manufacturing Co. Ltd; Hough space; LDP; automatic inspection system; cutting angle; cutting edge; cutting width; line detection with a priori; machine vision; sequential line matching algorithm; tire geometry; tire image sequence; Geometry; Image edge detection; Inspection; Lighting; Machine vision; Standards; Tires; Laser-guided; Machine vision; Sequential line matching; Tire geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237784
Filename :
7237784
Link To Document :
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