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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Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
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