Development Of Automatic Quality Control System Using Vision System

Chin, Gee Sing (2011) Development Of Automatic Quality Control System Using Vision System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Machine vision systems are widely used in manufacturing industries for inspection purpose. The implementation of automated sorting system to machine vision system has develops an integration of automation system. Its efficiency to inspect parts and sort according to order offers advantages which against the limitation of conventional human-operated system. The integration of a conveyor to the proposed system feeds the inspected parts for inspection purposes. Then, the inspection system is started from a detection of photoelectric sensor to trigger USB webcam by image acquisition via a Programmable Logic Controller (PLC). The webcam digitized the image data in order to send to host computer for image processing by using Vision Builder Automated Inspection (VBAI) software. The configuration of VBAI is studied on a personal computer before vision inspection is carried out. On the other hand, a graphical user interface (GUI) is designed by using Labview for person-in-charge to monitor and control the entire system. After classification from VBAI software, the inspected parts are arranged accordingly by Rhino robot. It is a six axis robot arm which consists of a hemisphere of work space. Though, integration of electronic hardware such as relay boards are necessary to solve the different voltage signal between PLC and Rhino controller. As a result, this project is performed to classify parts by using developed visual-based inspection and experimental validated its actual performance.

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