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Stuart Bennett joined the University of Strathclyde, Glasgow, U.K., in 2018, to research algorithms for compressive hyperspectral imaging to be used on a novel satellite-based imager. Since then, he has undertaken a number of projects with partners in the U.K. nuclear industry, developing automated vision-based monitoring and inspection tools. His previous industrially oriented work, while with the Signal Processing Group, Cambridge University, Cambridge, U.K., included collaborations with a medical devices startup, Google, British Cycling, and an America’s Cup racing team. These projects spanned many research topics in computer vision and image processing, focusing on analysis and measurement outputs, such as noninvasive recognition of lung function disease states, on- vehicle tire defect detection, and the production of aerodynamic metrics. A consistent theme throughout has been the necessity to deliver fast, accurate, and robust automation, working in the most challenging conditions.
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Jaime Zabalza,Paul Murray,Stuart Bennett,Andrew J. Campbell,Stephen Marshall,Jinchang Ren,Yijun Yan,Robert Bernard, Steve Hepworth, Simon Malone,Neil Cockbain, Douglas Offin,
IEEE SENSORS JOURNALno. 21 (2023): 25607-25617
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