Computer Vision Technology, LiDAR To Contain COVID-19

Will automated infection monitoring become a global standard in airports? Even in the busiest terminals, real-time thermal tracking along with immediately accessible biometric data that could be extracted and analyzed (using computer vision technology) would make it easier for airport staff to spot people who might be unwell. The individual’s potential sites of contact could also be tracked and found.

Companies are creating solutions for the ongoing detection and tracking of infectious disease outbreaks inside buildings and facilities, including airports, to assist airlines in managing the COVID-19 outbreak and beyond. Additionally, they are developing a specialized SARS-CoV-2 Spread Control System for hospitals and factories in Europe and other parts of the globe.

The businesses created a computer vision technology tool for airports and airlines that blends flight data and passenger flows with temperature data from thermal cameras, and crowd density data from lidar. The system recognizes individuals with elevated body temperatures and alerts airport operations management to potentially contaminated areas. It enables them to swiftly reroute traffic, realign flights, seal off infected areas, and reassign staff.

The application uses a comprehensive approach to data sensing, analysis, and reaction, allowing data to be rapidly distributed and taken action upon. When a passenger or staff member is identified as having a fever, the identification data obtained by thermal cameras are compared with a surveillance video using a computer vision-based snapshot.

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