Intelligent Inspection Systems
- One Semester or equivalent
- 36 hours
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Higher Ed. Semester 2
Last self enrolment:
Last withdraw without fail:
Aims and objectives
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Describe intelligent inspection systems and their applications to the manufacturing industry (K5, A2).
2. Identify the various sensing techniques available and how they are combined with other equipment and software to form inspection systems (K2, K5, A2, A4)
3. Apply some tools for inspection and measurement to simple problems (K1, K2, K3, K4, S1, S2, S3, A1, A2, A3, A4, A5, A6, A7)
4. Explain some of the algorithms used in the simple digital image processing software (K2, A2, A3. A4)
5. Explain the trends in inspection technology development and their applications (K4, A2, A3, A4)
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
*Scheduled face to face: Lectures (22 hours), Tutorials (11 hours), Laboratory Work (3 hours)
*Scheduled synchronous online learning events (N/A)
Non-scheduled online learning events and activities (N/A)
Other non-scheduled learning events and activities including independent study (approx. 114 hours)
Individual or Group task
Assesses attainment of these ULOs
Individual / Group
(ii) at least 40% in the final exam
Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
General skills outcomes
• Teamwork Skills
• Analysis Skills
• Problem Solving Skills
• Communication Skills
• Ability to tackle unfamiliar problems
• Ability to work independently
- Measurement in manufacturing
- Sensing techniques
- Image processing and algorithms
- Ultrasonic, lasers
- Intelligent systems
A list of reading materials and/or required texts will be made available in the Unit Outline.