Summary
This case study outlines the implementation of an AI-driven temperature screening system by a major cruise line to ensure the safety of passengers and crew during the COVID-19 pandemic. The document details how the system facilitates the mass screening of up to 1,080 individuals per hour at locations with high foot traffic, allowing for the timely detection of potentially infected individuals. The solution includes interconnected thermal cameras, a web dashboard, and a mobile app, which collectively enable the monitoring of compliance with safety measures recommended by the World Health Organization. The technology was designed to accurately measure temperatures even when individuals are wearing masks, achieving a face recognition accuracy of 95%. Additionally, the system can trace the routes of potentially infected individuals, thus aiding in contact tracing efforts. The implementation of this technology allowed the cruise line to resume operations within weeks, addressing significant daily financial losses due to the pandemic.
