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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Three dimensional (3D) optical coherence tomography in cancer. This project will establish for the first time how well 3D optical coherence tomography, a form of medical imaging, can image cancer. Based on this, a version built into a needle will be developed which will enable extension much deeper into tissues than previously possible to image cancer and to guide related surgical procedures.
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