  It is still nontrivial to develop a new fast COVID-19 screening method with
the easier access and lower cost, due to the technical and cost limitations of
the current testing methods in the medical resource-poor districts. On the
other hand, there are more and more ocular manifestations that have been
reported in the COVID-19 patients as growing clinical evidence[1]. This
inspired this project. We have conducted the joint clinical research since
January 2021 at the ShiJiaZhuang City, Heibei province, China, which approved
by the ethics committee of The fifth hospital of ShiJiaZhuang of Hebei Medical
University. We undertake several blind tests of COVID-19 patients by Union
Hospital, Tongji Medical College, Huazhong University of Science and
Technology, Wuhan, China. Meantime as an important part of the ongoing globally
COVID-19 eye test program by AIMOMICS since February 2020, we propose a new
fast screening method of analyzing the eye-region images, captured by common
CCD and CMOS cameras. This could reliably make a rapid risk screening of
COVID-19 with the sustainable stable high performance in different countries
and races. Our model for COVID-19 rapid prescreening have the merits of the
lower cost, fully self-performed, non-invasive, importantly real-time, and thus
enables the continuous health surveillance. We further implement it as the open
accessible APIs, and provide public service to the world. Our pilot experiments
show that our model is ready to be usable to all kinds of surveillance
scenarios, such as infrared temperature measurement device at airports and
stations, or directly pushing to the target people groups smartphones as a
packaged application.
