Leading a research team, Prof. Yang CHAI, Associate Dean of the Faculty of Science and Professor in the Department of Applied Physics, developed optoelectronic graded neurons for recognizing and perceiving dynamic motion agilely with limited hardware resources. This advanced machine vision system can perform high information transmission rate and fuse spatial and temporal information at sensory terminal while the conventional sensors can only output “spatial” frames without fusing “temporal” information. Compared to recognition performed with traditional image sensors (~50%), the accuracy of action recognition approaches 99.2%.
To learn more: https://www.polyu.edu.hk/rio/news/2023/20230529-optoelectronic-graded-neurons-for-perceiving-dynamic-motion/
