Guofeng Luo ^1* Yufei Wang ^1* Linghong Hong ² Xin He ^1* Jiaru Wang ^1* Qu Shen ^2* Cheng Wang ^1* Longbiao CHEN ^1*

• ¹ Xiamen University, Xiamen, China
• ² Xiang'an Hospital, Xiamen University, Xiamen, Fujian Province, China

Ensuring effective measures against the spread of the virus is paramount for educational institutions and workplaces as they resume operations amidst the ongoing public health crisis.Creating a touchless and privacy-conscious check-in procedure for visitor assessment is pivotal in safeguarding venues against potential virus transmission. In our study, we develop an interaction-free entry system featuring anonymous visitors voluntarily providing, while introducing an adaptable venue entry management mechanism that accounts for both visitors' potential risk and the venue's capacity, aimed at curbing the risk of localized infections within venues. In addition to assessing the liability of visitors based on their voluntarily providing data through radar map analysis, our method also involves evaluating the venue's situation by quantifying its risk from multiple dimensions. A queuing model is then employed to control the visitor's access adaptively according to the liability of visitors and the availability of venues, respectively. Since May 2020, our university campus has been the operational site for the implemented system, catering to the needs of 29,791 visitors spread across 52 distinct venues. Utilizing the real-world implementation, we carry out a series of simulation experiments and case studies to verify the effectiveness of the HealthPass system in lowering infection risks.