DocumentCode :
600011
Title :
Low-cost Machine Vision System for dimension measurement of fast moving conveyor products
Author :
Arsalan, Muhammad ; Aziz, Ahmedullah
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
fYear :
2012
fDate :
20-22 Dec. 2012
Firstpage :
22
Lastpage :
27
Abstract :
Product manufacturing industries growth and efficiency greatly depends upon the quality of end product. Hence, it is necessary to inspect each and every object for its quality during manufacturing process. Machine Vision system can be implies here for indispensable advantages. Commercial Vision systems available in market are very expensive. Industries especially in third world countries like Pakistan it is not easy for them to utilize Typical Machine Vision System in place of conventional measuring methods due to economic reasons. Keeping this scenario in mind, an attempt was made to develop a Low-Cost Machine Vision System. The paper presents a design of Machine Vision System capable of object monitoring with the resolution up to 0.3mm. Real time Image processing of moving conveyor objects has performed. Different measurement inspection procedures have been performed including length measurement, diameter measurement and object feature counting. Practical Project Testing gives out measurement results up to 99% accuracy.
Keywords :
computer vision; conveyors; diameter measurement; inspection; length measurement; product quality; production engineering computing; production testing; Pakistan; commercial vision system; diameter measurement; dimension measurement; fast moving conveyor product; industry efficiency; industry growth; length measurement; low-cost machine vision system; manufacturing process; measurement inspection procedure; measuring method; object feature counting; practical project testing; product manufacturing industry; product quality; quality inspection; realtime image processing; Belts; Cameras; Image edge detection; Inspection; Length measurement; MATLAB; Machine vision; inspection; machine vision; moving conveyor objects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Open Source Systems and Technologies (ICOSST), 2012 International Conference on
Conference_Location :
Lahore
Print_ISBN :
978-1-4673-3094-7
Type :
conf
DOI :
10.1109/ICOSST.2012.6472822
Filename :
6472822
Link To Document :
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