Robotics and Non-Contact Inspection
IRIS develops industrial applications of non-contact inspection systems based on computer vision, ultrasonics, optics and capacitive sensing that offer efficiency and productivity gains for manufacturing operations. A combination of novel sensing approaches and artificial intelligence techniques; e.g., fuzzy neural systems, neural networks, genetic algorithms and support vector machines, are used to implement real time monitoring and control of discrete processes for manufacturing industries.
Key Capabilities
Expertise in integrating various sensor technologies including computer vision, ultrasonics, optics and capacitive sensing and artificial intelligence techniques such as neural networks, support vector machines and fuzzy logic to deliver state of the art monitoring systems for the real time control of discrete manufacturing processes.
Current Activities
Rapid and Reliable Detection and Analysis of Defects in Aerospace Components
Ultrasonic sensing and artificial intelligence techniques are used to detect delamination and porosity type defects in composite structures used in aerospace componentsInspection of Hybrid Joints for the Lightweight Modular Vehicle Platform
Laser projection, computer vision and ultrasound methods are used in combination to detect defects in self piercing rivets used in lightweight applicationsFuel Level Sensor Development for Automotive Applications
Capacitive and ultrasonic sensors in combination with artificial intelligence techniques in the design of a robust low cost fluid level sensor for automotive fuel tanksOn-line Real-time Inspection of Vehicle Structures
Computer vision based inspection system for detecting defects on the under body of vehicles in real time on the production lineResearch Team
- Prof. Romesh Nagarajah
- A/Prof. Pio Iovenitti
- Dr. Zhenwei Cao
- Mr. Tim Barry
- Mr Edin Terzic (Delphi)
- Ms Jenny Terzic (Delphi)
- Dr. Michelle Dunn
