Detecting security threats around the world
iCetana detects potential security threats in large data sets from video surveillance footage. Algorithms that we developed drive iCetana's innovative anomaly detection software.
The software uses ideas from compressed sensing to enable simultaneous surveillance of many cameras deployed in all sorts of environments.
A local city council first used iCetana to detect anti-social behaviour and traffic violations. It's now being used around the world.
A life-saving healthcare app
PRaDA's health analytics program helps doctors predict suicide risk in patients. From this artificial intelligence program they've created iHosp, an app that will improve hospital efficiency and patient care. Both are being trialled by our industry partner, Barwon Health.
Now that we can analyse such vast amounts of data, there is enormous potential to gauge the mental health of whole populations and develop much more effective public health campaigns.
DIRECTOR OF PRADA
Recognising early warning suicide signs
The Centre is working with the Black Dog Institute to identify deviations in social media that could predict suicide risk and help with the development of an early warning system.
Centre for Pattern Recognition and Data Analytics (PRaDA)
+61 3 5227 1266
School of Information Technology
Locked Bag 20000
Geelong VIC 3220