Ab Hadi, Nik Azran and Kadmin, Ahmad Fauzan and A Aziz, Khairul Azha and Abd Rahman, Mohd Soufhwee and Abd Razak, S. S. and Salehan, M. Z. and Abdul Hadi, N. A. and Hamzah, Rostam Affendi and Abd Rashid, Wan Norhisyam (2018) Performance Analysis Of Neural Network Model For Automated Visual Inspection With Robotic Arm Controller System. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 10. pp. 19-22. ISSN 2180-1843
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2018 Performance Analysis of Neural Network Model for Automated Visual Inspection with Robotic Arm Controller System Scopus Uris.pdf - Published Version Download (520kB) |
Abstract
The concept of Automated Visual Inspection (AVI) have emerged as a powerful platform for industrial machine vision where it used to inspect a large number of products rapidly.However,a major problem with this kind of application is the quality produced by the recognition process.In this paper,a system with the capability of identifying and categorizing a product based on image processing has been implemented.The image was processed by using Radial Basis Function (RBF) based on output center and spread values optimization.Robotic arm controller developed for pick and place the product based on their categories.Two performance measures are used to validate the model classification range and the spread values.The results of this project indicate that the model used able to identify the product and classify it according to their shape.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Automated Visual Inspection; Neural Network; Product Identification; Radial Basis Function; Robotic Arm Controller. |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering Technology |
| Depositing User: | Mohd. Nazir Taib |
| Date Deposited: | 29 May 2019 02:49 |
| Last Modified: | 18 Aug 2021 22:08 |
| URI: | http://eprints.utem.edu.my/id/eprint/21929 |
| Statistic Details: | View Download Statistic |
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