A review article by Prof. CHAI Yang, Associate Dean of the Faculty of Science (Research) and Professor in the Department of Applied Physics, and his team, titled “Multidimensional vision sensors for information processing”, was recently published in the Nature Nanotechnology journal (https://www.nature.com/articles/s41565-024-01665-7).
Conventional image sensors cannot process multidimensional information (spatial, temporal, polarisation, spectrum and so on) about the visual scene in the physical world, creating a need for vision sensors that can efficiently extract features from large amounts of multidimensional vision data.
In the review, the team discussed the implementation of hardware for multidimensional vision sensors and explored their working mechanisms and design principles. They described various multidimensional vision sensors built on emerging devices and silicon-based system integration. They also provided some benchmarking metrics for the sensors and concluded with the principle of device–system co-design and co-optimisation.
Prof. Chai is currently a Management Committee Member of the Research Institute for Intelligent Wearable Systems (RI-IWEAR) and a Member of the Photonics Research Institute (PRI), the Otto Poon Charitable Foundation Research Institute for Smart Energy (RISE) and the Research Institute for Artificial Intelligence of Things (RIAIoT).