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Intelligent Inspection Systems

Unit Code:HIR508



Credit Points

Duration

Contact Hours

Campus

Prerequisite

Corequisite

12.5 Credit Points


12 weeks

3 Hours per Week

Hawthorn


Nil


Nil

Related Course/s:

 

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Aims & Objectives:

Aim is to provide students with an understanding of the techniques available for non-contact inspection and measurement with an emphasis on the application of computer vision to the manufacturing industry.

After successfully completing this unit, the student should be able to achieve the following objectives and learning outcomes:
  • Develop an understanding and appreciation of the intelligent inspection systems and their applications to the manufacturing industry. 
  • Attain a degree of competency in the development and application of various sensing techniques available and how they are combined with other equipment and software to form inspection systems. 
  • Apply the practical experience in the use of some tools for inspection and measurement 
  • Apply the knowledge of some of the algorithms used in the simple digital image processing software 
  • Assess the trends in inspection technology development and their applications

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Teaching Methods:

Lectures

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Assessment:

Written Exam (worth 60%),
Assignments worth 40%).

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Generic Skills Outcomes:

Students are expected to enhance several of their graduate attributes during this unit and should consult with your lecturer if not clear as to how this unit achieves this.

Specific Swinburne generic attributes, which will be expected to be enhanced include that students:
  • Are informed and knowledgeable in the area.
  • Have pertinent skills and abilities
  • Have the ability to work both independently and collaboratively.
  • Have the ability to effectively communicate using a range of media and in varied contexts.
  • Are self driven learners.

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Content:

Introduction to Intelligent Inspection Systems:
Fundamentals of measurement, uncertainty of measurement, calibration; Sensors; Non-contact inspection methods: ultrasonic, computer vision, laser-based, interferometry; Tactile inspection: Coordinate Measuring Machines (CMM), mechanical arms; Intelligent systems, components, benefits and applications.

Acoustic-based Systems
Ultrasonic sensors, parameters, limitations, analysis techniques

Computer Vision Systems:
Human vision, CCD camera, line and area sensors, lighting, framegrabbers, single, stereo camera techniques. Optical systems: parameters, lenses, perspective projections and images. Digital image processing: binary and grey scale, image file structures, algorithms used in analysis of images.

Laser-based Measurement Systems:
Laser safety, laser basics, performance, triangulation techniques, light stripe methods.

Applications to the Manufacturing Industry:
Off-line and on-line inspection, quality and processing.

Emerging Technologies and Applications
Smart cameras, CMOS cameras, spectroscopy.

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References:


1. Cielo, P., Optical Techniques for Industrial Inspection, Academic Press, 1988
2. Batchelor, B.G., Hill, D.A. and Hodgson, D.C., Automated Visual Inspection, IFS Publications, 1985.
3. Pham, D.T. and Alcock, R.J., Smart Inspection Systems - Techniques and Applications of Intelligent Vision, Academic Press, 2003.
4. Sensors Journal (electronic resource), Published by IEEE, New York, c2001-.
5. Journal of Sensors and Actuators. A, Physical [electronic resource], Published by Elsevier Sequoia, Lausanne, Switzerland 1990-.
6. Davies, E.R., Machine Vision: Theory, Algorithms, Practicalities, Ebooks Corporation, 3rd ed. Budington, Elsevier 2004.
7. Kundu, Tribikram, Advanced Ultrasonic Methods for Materials and Structure Inspection, Ebooks Corporation, London ISTE 2006.

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