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Intelligent visual inspection of bottling production line through Neural Network

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Bibliographic Details
Main Authors: Riza, Sulaiman, Anton, S. Prabuwono
Other Authors: rs@ftsm.ukm.my
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2011
Subjects:
Bottling production line
Neural network
Quality control
Visual inspection
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13632
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spelling my.unimap-136322011-09-04T01:42:12Z Intelligent visual inspection of bottling production line through Neural Network Riza, Sulaiman Anton, S. Prabuwono rs@ftsm.ukm.my Bottling production line Neural network Quality control Visual inspection Link to publisher's homepage at http://www.myiem.org.my/ This paper presents research done on developing an intelligent visual inspection system for automatic inspection of bottling production line. The objective of this research is to enhance on modeling, integrating, and implementation of intelligent visual inspection system in the process of quality control in industrial manufacturing. The system will inspect each individual product in real-time process. Levenberg-Marquardt backpropagation neural network has been applied for this system to differentiate between acceptable and unacceptable product, for example, the misplacement of a bottle cap. A simulation of the operation was attempted in the Robotics System Laboratory of Industrial Computing Department, Universiti Kebangsaan Malaysia. The experiments were done by using developed software (Real-TIVI) and hardware, i.e. conveyor belt, adjustable halogen lamp, personal computer, web camera (webcam) to capture the image, and plastic bottle as an object of visual inspection. From this experiment, the maximum regular speed of a rotating object was 106 rpm. The result shows the system is accurate to determine between acceptable (normal) and non-acceptable (no cap or misplace of cap) during the maximum speed when the distance between webcam and the object was at 15 cm. 2011-09-04T01:42:12Z 2011-09-04T01:42:12Z 2007-12 Article The Journal of the Institution of Engineers, Malaysia, vol. 68(4), 2007, pages 57-63 0126-513X http://www.myiem.org.my/content/iem_journal_2007-178.aspx http://hdl.handle.net/123456789/13632 en The Institution of Engineers, Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bottling production line
Neural network
Quality control
Visual inspection
spellingShingle Bottling production line
Neural network
Quality control
Visual inspection
Riza, Sulaiman
Anton, S. Prabuwono
Intelligent visual inspection of bottling production line through Neural Network
description Link to publisher's homepage at http://www.myiem.org.my/
author2 rs@ftsm.ukm.my
author_facet rs@ftsm.ukm.my
Riza, Sulaiman
Anton, S. Prabuwono
format Article
author Riza, Sulaiman
Anton, S. Prabuwono
author_sort Riza, Sulaiman
title Intelligent visual inspection of bottling production line through Neural Network
title_short Intelligent visual inspection of bottling production line through Neural Network
title_full Intelligent visual inspection of bottling production line through Neural Network
title_fullStr Intelligent visual inspection of bottling production line through Neural Network
title_full_unstemmed Intelligent visual inspection of bottling production line through Neural Network
title_sort intelligent visual inspection of bottling production line through neural network
publisher The Institution of Engineers, Malaysia
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13632
_version_ 1643790943787155456
score 13.219503

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