Title :
Research on Automatic Inspection and Classification for Middle Thickness Pb Alloy Castings Based on Machine Vision Recognition Technology
Author_Institution :
Sch. of Mechatron. Eng., China Jiliang Univ., Hangzhou, China
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;
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
DOI :
10.1109/CISP.2009.5305384