System Design and Research for Reducing Virus Contact in Elevator Using Image Recognition Technology

Recently, the outbreak of COVID-19 once again has brought public health issues back to the forefront, emphasizing the importance of public health and the threat posed by public health problems to the health of people [1]. As public facilities become more and more developed and advanced, it is absolutely necessary to maintain their sanitary level. In this epidemic, contact infection in confined space is one of the main transmission routes of the virus; the frequently used button area inside the elevator therefore has a very high risk of infection. With the goal of being independent of the internal circuit of the elevator, not hindering the use of the elevator and not relying on the initiative of the user, this paper has carried out practice and research on reducing the contact infection caused by the operation of the elevator button. This paper mainly includes the analysis on the advantages and disadvantages of existing schemes, the introduction of a non-contact ultraviolet elevator button disinfection device based on image recognition and Arduino, the influence of light intensity on the accuracy of image recognition in this device, and the mathematical modeling related to the time cost of the better scheme.