Journal article
Manufacturing e-quality through integrated web-enabled computer vision and robotics
International journal of advanced manufacturing technology, v 43(7-8), pp 720-730
01 Aug 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper investigates the development of a Web-based quality control system with the use of Internet-based computer machine vision. Such a system allows designers located far from the production facility to monitor, control, and program the quality inspection process as the product design evolves. Quality control tasks are performed and monitored remotely through the Web where Internet-based machine vision sensors inspect part dimensions and tolerance while Internet-enabled robots perform the necessary robotic operations. The remote quality monitoring system-which lets the user monitor the part status including data, image, and video through the Internet-is built using Java. The use of Java allows for interconnection and data transfer between the different components of the Web-based quality system and the robots. The ability to access and control quality control devices via the Web benefits the current manufacturing environment in the following ways: ubiquitous access to the production floor, remote control/programming/monitoring capability, and integration of production equipment into information networks for improving efficiency and product quality.
Metrics
Details
- Title
- Manufacturing e-quality through integrated web-enabled computer vision and robotics
- Creators
- Richard Chiou - Drexel UniversityPrathaban Mookiah - Drexel UniversityYongjin Kwon - Ajou University
- Publication Details
- International journal of advanced manufacturing technology, v 43(7-8), pp 720-730
- Publisher
- Springer Nature
- Number of pages
- 11
- Grant note
- DUE-0618665 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000268808300010
- Scopus ID
- 2-s2.0-67749088417
- Other Identifier
- 991019167997504721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Manufacturing