Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100121
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Three-dimensional super-resolution nanophotonic fabrication facility. This stimulated emission depletion microscopy nanophotonic fabrication facility will be the first nanophotonic fabrication facility that is able to achieve optical resolution far beyond the diffraction limit, which will facilitate breakthroughs in cutting-edge nanotechnology research areas.
Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveill ....Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveillance, security, law enforcement, and ICT. This project will contribute to building a knowledge economy in Australia and help safeguard and protect Australia from terrorism and crime. Furthermore, its outcomes will enhance the reputation of Australia as a leader in frontier technologies and smart information use.Read moreRead less
A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capa ....A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capabilities will spur the development of a new generation of consumer products with "intelligent eyes".
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100235
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure wil ....Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure will accelerate the pace of surveillance research and development in Australia, enhancing the competitiveness of both Australia's researchers and the businesses that will commercialise these researchers' discoveries.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100003
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin ....3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin modern nanoelectronics for innovative energy, nano-optical and quantum device applications. This unique equipment will facilitate breakthrough discoveries in nanomaterials, and foster collaborations amongst Australian researchers to accelerate industry in advanced nanodevice technologies.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100006
Funder
Australian Research Council
Funding Amount
$1,060,000.00
Summary
Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-clas ....Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-class infrastructure is expected to advance international competitiveness, leading to high-impact outcomes in smart materials, nanotechnology, bioscience, and geoscience, including support for the Australian resources sector.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less