Automated Real-Time Vision Quality Inspection Monitoring System

Abdullah, Abdul Rahim and Mohd Noor, Nor Shahirah and Mohamad Basir, Muhammad Sufyan Safwan and Abdul Rahman, Nor Nabilah Syazana and Mohd Saad, Norhashimah and Hassan, Mai R.M. (2018) Automated Real-Time Vision Quality Inspection Monitoring System. Indonesian Journal Of Electrical Engineering And Computer Science, 11. pp. 775-783. ISSN 2502-4752

[img] Text
2018 JOURNAL Automated Real-time Vision Quality Inspection Monitoring.pdf - Published Version
Restricted to Registered users only

Download (315kB)


The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system.The problem is related to a manual inspection that is done by a human as an inspector.This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME).For the proposed system,soft drink is used as the test product for quality inspection.The system uses computer-network to inspect two quality inspections which are color concentration and water level.The analysis includes pre-processing,color concentration using the histogram and quadratic distance and level inspection using coordinate vertical and horizontal reference levels.The similarities of both experimental and simulation results are obtained for both parameters which are 100% accuracy using 205 samples.

Item Type: Article
Uncontrolled Keywords: Color classification, Image processing, Level analysis, Quadratic distance classifier, Visual inspection
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electronics and Computer Engineering > Department of Industrial Electronics
Depositing User: Mohd. Nazir Taib
Date Deposited: 11 Jan 2019 04:07
Last Modified: 17 Aug 2021 22:16
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item