Collaborations

In this sector NICTA addresses the following industry problems:

Protecting Public Safety - Food: Providing automated analysis tools to protect our food including investigating bacteria detection, food sorting, plant disease detection.
Protecting Australia’s Environment and Agricultural Industry: Providing automated analysis tools for identifying insect pests in the field (eg. fireant).

Collaborators

Case Studies:

Fireants – Harnessing computer vision and mobile technology to identify fireants in the field

In this sector NICTA addresses the following industry problems:

Driving cost savings & more efficient deployment of resources: Providing modelling and simulation tools that better inform Defence on functionality and cost implications for its Service Oriented Architecture (SOA). Developing simulation tools and techniques that enable defence to simulate optimal outcomes in terms of acquisition requirements, maintenance schedules and aircraft sorties.
Enhancing information security: Developing key secure virtualisation technologies and architectural analysis techniques to assist in the delivery of systems that can handle information at multiple security classifications on a single device.
Reducing staff turnover: Developing cognitive load assessment tools to target improvements to recruiting and training of staff in high value training categories (for eg. pilots) and high pressure roles.
Improving Hyperspectral Surveillance: Providing improved automated analysis tools for hyperspectral and other surveillance equipment.
Deployable, mobile communications network: Utilising our deep understanding of the new 802.11ad standard and our experience in developing antennas we will investigate the appropriateness of new wireless communications for high speed, low-probability of intercept deployment and battlefield communications.

Collaborators

In this sector NICTA, may address a number of industry problems including:

CCTV Watchlist: Matching CCTV footage to a database of images.
Re-identification: At airports, where a single person goes through several chokepoints, re-identifying the person from CCTV footage at various points of their journey.
Automatic Identity Enrolment: Identifying a person at a checkpoint through CCTV footage, linking it to their picture in an employee database and then taking biometric data (ie. iris detection) and linking it to that field.

Collaborators

Case Study

To come.