Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775499
Funder
Australian Research Council
Funding Amount
$130,000.00
Summary
High Performance Optical Profilometer for mapping micro/meso/macroscopic topography. Developing advanced, high performance new materials requires an understanding of surfaces and interfaces. Making a small area, low yield material or device is a regular occurrence within the Australian research community. The ability to create reproducible, high yield materials requires greater understanding of the stresses, uniformities and deformations in a material over large areas. The proposed instrument ....High Performance Optical Profilometer for mapping micro/meso/macroscopic topography. Developing advanced, high performance new materials requires an understanding of surfaces and interfaces. Making a small area, low yield material or device is a regular occurrence within the Australian research community. The ability to create reproducible, high yield materials requires greater understanding of the stresses, uniformities and deformations in a material over large areas. The proposed instrument can measure topography over many centimeters-squared with sub-micron spatial resolution, currently beyond the capabilities of researchers in Australia. By providing a quantitative method to measure surface textures, the instrument will also support Australian industries looking for improved process control.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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Biomimetic Ultra-Thin Compound-Eye Vision Sensor. With the recent advances in microelectronic fabrication technology, it becomes possible today to fabricate paper-thin imaging systems. The proposed research will target the development of such systems to enable the concept of 'stick-on cameras'. Examples of potential applications for this new imaging technology include head-mounted camera patches for rescue workers, smart credit card capable of identifying its user by fingerprint technology, disc ....Biomimetic Ultra-Thin Compound-Eye Vision Sensor. With the recent advances in microelectronic fabrication technology, it becomes possible today to fabricate paper-thin imaging systems. The proposed research will target the development of such systems to enable the concept of 'stick-on cameras'. Examples of potential applications for this new imaging technology include head-mounted camera patches for rescue workers, smart credit card capable of identifying its user by fingerprint technology, discrete monitoring of venues, preventing driver's drowsiness inside a car but also assisting in medical diagnosis and minimally invasive surgery. This leading edge research will enhance the reputation of Australia as a leader in frontier technologies.Read moreRead less
Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-c ....Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-chip image processing. These innovative system-on-chip features will contribute towards the positioning of CMOS imaging technology as the technology of choice for most digital imaging applications, in place of the existing, and so far unchallenged, CCD technology.
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A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynami ....A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynamic range, fill-factor, and signal-to-noise ratio. Both the vision and the processing chips will be realised in standard CMOS technology, which make the smart vision sensor very suitable for low cost consumer electronic applications.Read moreRead less