Overview

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.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Describe intelligent inspection systems and their applications to the manufacturing industry (K5, A2)
  • Identify the various sensing techniques available and how they are combined with other equipment and software to form inspection systems (K2, K5, A2, A4)
  • Apply some tools for inspection and measurement to simple problems (K1, K2, K3, K4, S1, S2, S3, A1, A2, A3, A4, A5, A6, A7)
  • Explain some of the algorithms used in the simple digital image processing software (K2, A2, A3, A4)
  • Explain the trends in inspection technology development and their applications (K4, A2, A3, A4)

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
Lecture		2.00 11 weeks 22
On-campus
Class		1.00 11 weeks 11
On-campus
Class		1.00 3 weeks 3
Unspecified Activities
Independent Learning		9.50 12 weeks 114
TOTAL150

Assessment

Type Task Weighting ULO's
ExaminationIndividual 50 - 60% 1,2,4,5 
Report and PresentationIndividual/Group 40 - 50% 1,2,3,4,5 

Hurdle

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

(i) an aggregate mark of 50% or more, and(ii) at least 40% in the final exam.Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 45% as the total mark for the unit.

Content

  • Measurement in manufacturing
  • Sensing techniques
  • Image processing and algorithms
  • Ultrasonic, lasers
  • Intelligent systems
  • Applications
  • Trends
 
  • Graduate Attribute – Communication Skills: Verbal communication
  • Graduate Attribute – Communication Skills: Communicating using different media
  • Graduate Attribute – Digital Literacies: Information literacy
  • Graduate Attribute – Digital Literacies: Technical literacy

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.