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AOS + Queensland University of Technology - eyeSight

Case Study: eyeSight - Agent Oriented Software (AOS) and Queensland University of Technology


State of the Art Tech Improves Intruder Tracking Surveillance 



For 24-hour surveillance to be effective for Australia’s national security there can be no room for human error. 

To eliminate this human element from critical but often tedious surveillance, robotics specialists Agent Oriented Software (AOS) sought research expertise and teamed up with Queensland University of Technology (QUT). With a boost from a Defence Science Institute (DSI) Collaborative Research Grant, the team was able to develop its current prototype of an autonomous intelligent intruder tracking system named ‘eyeSight’.

Through Artificial Intelligence (AI) and robotics, eyeSight has the ability to detect an object in a panorama video, identify whether the object (person or vehicle) has authorisation to enter the premises and track the GPS location of the object using footage from multiple cameras. When combined with an unmanned ground vehicle (UGV), it can safely approach and inspect an intruder, enhancing military base security.

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eyeSight is able to accurately monitor traffic, including vehicles making u-turns

Originally envisaged as a collaboration between AOS and the Australian Research Council (ARC) Centre of Excellence for Robotic Vision headquartered at QUT, the project evolved into a partnership with the university’s School of Electrical Engineering and Robotics. The team was made up of software engineers from AOS, led by Managing Director Dr Andrew Lucas, and researchers from QUT including select early-career post-doctoral students, who gained valuable industry experience.

“The grant from DSI expanded AOS’s innovation capability and encouraged us to experiment with new ideas. DSI’s deep network of relationships within the Defence sector, many top-tier universities and local companies helped us find the right research partner in QUT,” said Weixun Leon Liu, a Software Engineer at AOS who worked extensively on the project.

Dr Simon Denman, Computer Vision Specialist and Senior Lecturer at QUT’s School of Electrical Engineering and Robotics, oversaw the computer vision call aspect of the project. “As someone who works within a university, it was nice to be able to apply research translation towards a project with real-world use,” he said.

“Universities are pushing the boundary of technological advancement. Engagement helps industry to better plan and adjust their development directions,” said Weixun.

eyeSight will greatly improve the autonomous tracking capability for AOS’s unmanned ground vehicles, currently being developed as part of the ADF and Australian Army’s Jericho Dawn program - a vision to develop a future force that is agile and adaptive.

eyeSight is one of many successful stories of research progression to come out of DSI, demonstrating how research outcomes are transferable and of value across multiple sectors not just defence. DSI encourages researchers to make contact and leverage the many grant and support options available to advance their research.