DocumentCode
2190767
Title
Research on Automatic Inspection and Classification for Middle Thickness Pb Alloy Castings Based on Machine Vision Recognition Technology
Author
Zhao Hong
Author_Institution
Sch. of Mechatron. Eng., China Jiliang Univ., Hangzhou, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
Inspecting of castings refers to the inspection of its internal quality. Nowadays, in the course of the inspection and classification of middle thickness Pb alloy castings, the equipments being used have limitations, which rely too much on human manual work which will affect the health of the workers and the inspection accuracy and classification efficiency are low. With the aid of machine vision recognition technology, the automatic inspection and classification system for small castings developed by the author resolved above problems successfully, inspection and classification operation realize automation entirely, thus, inspection accuracy and classification efficiency improved greatly.
Keywords
casting; computer vision; image recognition; inspection; lead alloys; alloy castings; automatic inspection; classification system; machine vision recognition technology; Casting; Charge coupled devices; Charge-coupled image sensors; Image processing; Image recognition; Inspection; Machine vision; Slag; System testing; X-ray imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5305384
Filename
5305384
Link To Document