DocumentCode :
3252593
Title :
Dimentional inspection and feature recognition through machine vision system
Author :
Bhattacharyya, Bidyut K.
Author_Institution :
Mech. Eng. Dept., Bengal Eng. & Sci. Univ., Howrah, India
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
511
Lastpage :
514
Abstract :
Automated computerized machine vision inspection, techniques can be used as a tooling for automated shape inspection in an advanced CIM environment so that real time, reliable, non-contact and non-destructive, and 100% quality measure activities can be achieved fruitfully. This paper develops a generic hardware system, software architecture and a technology-mix for product feature identification and measurement analysis of various machined parts/products. The feature analysis seeks to identify inherent characteristics of feature of an object found within the image frame. These characteristics are used to describe the object or the attributes of the object features, prior to subsequent task for classification of the same. The special features of such an inspection methodology include system which is (i) Micro-computer based; (ii) flexible and reprogrammable; (iii) likely to remain effective at the floor; (iv) ensure the highest possible goes to the customer and (v) very efficient.
Keywords :
computer integrated manufacturing; computer vision; feature extraction; inspection; object recognition; production engineering computing; software architecture; CIM environment; automated computerized machine vision inspection; dimensional inspection; feature recognition; generic hardware system; measurement analysis; microcomputer based systerm; product feature identification; software architecture; Robots; Feature extraction; Image Processing; computer vision; online inspection; pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646564
Filename :
5646564
Link To Document :
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