EASY TO ASSEMBLE: A hospital team has created a tent-like device to help shield medical personnel treating COVID-19 patients from aerosol-borne infection risks

Taipei Times
Date: May 06, 2020
By: Hung Mei-hsiu and Jake Chung / Staff reporter, with staff writer and CNA

A system utilizing artificial intelligence, machine learning and computer vision can identify whether people are wearing masks, which could help ensure that everyone entering a Mass Rapid Transport (MRT) station is wearing a mask during the COVID-19 pandemic.

A team from National Chiao Tung University that developed the system on Monday said that preliminary tests carried out at campus cafeteria and classrooms showed 95 percent accuracy.

The team was led by Cheng Wen-huang (鄭文皇) and Shuai Hong-han (帥宏翰), a professor and assistant professor in the electrical engineering department.

For the tests, those wearing masks were marked with a green square and those without were marked with a red square, it said.    [FULL  STORY]