An Inspection is a study of methods and techniques that can be suitably employed in practical applications. In this paper, a new activity is proposed and analysis framework to facilitate the inspection of an object using machine vision technique in which maximum efficiency can be achieved. By using LABVIEW software and vision builder software the quality of output images such as image compression, image restoration and multimedia streaming are achieved successfully. So the proposed design makes use of various image processing functions like special filters and classifiers to compute the optimum results. Using smart camera in the inspection system the static as well as the dynamic object is captured in fraction of seconds without any blurs; as a result the optimum image quality without any distortion is obtained for better analysis. The proposed system is very precise, accurate and flexible with reasonable development cost compared to other model. With the aid of an Industrial robotic system with simulation software the object is replaced immediately when the same is rejected by the machine vision model. Apart from this, the proposed model can be implemented for any type of Automation work
| Published by | Institute of Advanced Engineering and Science |
| Journal Name | International Journal of Electrical and Computer Engineering (IJECE) |
| Contact Phone | - |
| Contact Name | Tole Sutikno |
| Contact Email | ijece@iaesjournal.com |
| Location | Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA |
| Website | IJECE| http://ijece.iaescore.com/index.php/IJECE| |
| ISSN | ISSN : 20888708, EISSN : -, DOI : -, |
| Core Subject | Science, Engineering, |
| Meta Subject | Computer Science & IT, Electrical & Electronics Engineering, |
| Meta Desc | International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. |
| Penulis | Kumar Sahoo, Santosh , Choudhury, B. B. |
| Publisher Article | Institute of Advanced Engineering and Science |
| Subtitle Article | International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 1: February 2015 |
| Scholar Google | http://scholar.google.com/scholar?q=%2Bintitle%3A&… |
| View Article | http://ijece.iaescore.com/inde… |
| DOI | https://doi.org/10.11591/ijece.v5i1… |
| DOI Number | DOI: 10.11591/ijece.v5i1.pp46-54 |
| Download Article [1] | http://ijece.iaescore.com/index.php/IJEC… |
| Download Article [2] | http://download.garuda.ristekdikti.go.id… |
Informasi yang terkait dengan A ROBOTIC ASSISTANCE MACHINE VISION TECHNIQUE FOR AN EFFECTIVE INSPECTION AND ANALYSIS
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