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2004-2128 session# 3250

A capstone design project- Machine Vision System in Inspection Process

Kenneth Joyner, Joshua Shipman, Benjamin Mott, Dana Harper, Edward Morris, Akbar Eslami

ITT Technical Institute, Norfolk Campus/ Elizabeth City State University

Abstract

The purpose of this project is to design an automated inspection system that will identify, accept, or reject parts on a production line. The project simulates a major goal of industry—to monitor deviations in parts geometry. The project begins by integrating five components that work together as a system: a conveyor, a machine vision sensing device or camera, a robot, a programmable logic controller (PLC), and a pneumatic actuator. The conveyor belt moves parts to the inspection area, where the machine vision camera detects them. The camera makes an image of each part and displays that image within the software windows environment. The edge count and measurement distance sensors in the software identify each part as acceptable (PASS) or not acceptable (FAIL). The system, as it is designed, uses a PASS signal to recognize acceptable parts. That signal then is sent to and used by the robot to gather and assemble the acceptable parts in a central location. If the part is unacceptable, it is moved within reach of the actuator, which pushes it off the conveyor belt into a scrap bin. Five components, each performing a different function, are tied together into a system dedicated to ensuring that customers receive a quality product.

I. Introduction

College seniors in the Automated Manufacturing Technology Program are required to complete a capstone design project during their final semester. The program affords students the opportunity to develop their teamwork, communication, and problem solving skills, as well as the opportunity to put into practice many of the competencies learned in their program of study. Also, the students are afforded the opportunity to apply their individual technical know-how and knowledge on a real world project, which in this case is to design an automated inspection system utilizing a machine vision sensing device or camera, a robot, a PLC, and an actuator arm—all governed by computer hardware and software.

Automated inspection processes (AIP) are commonplace throughout industry and are used to ensure quality in products ranging from bottles to medicated pads to food items, as well as in the

Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition. Copyright © 2004, American Society for Engineering Education.

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Eslami, A. (2004, June), A Capstone Design Project Machine Vision System In Inspection Process Paper presented at 2004 Annual Conference, Salt Lake City, Utah. 10.18260/1-2--13446