Real-Time On-Device Flow Statistics Detection and Prediction

This project was served as the Undergraduate Major Design Experience at UM-SJTU Joint Institute, Shanghai Jiao Tong University. Background: The Impact of COVID-19 The outbreak of novel coronavirus COVID-19 in 2020 has brought huge attention to the administration of human society. “Social distancing” has been advocated as a very effective method to fight the virus. In order to facilitate the implementation of social distancing, we propose an idea of building a portable device that is capable of detect and predict flow statistics in real time, in order to provide insights and suggestions for traffic management.