South Korea to Use Facial Recognition Cameras to Track COVID Cases, Ensure Mask Compliance

Authorities in South Korea are set to use the country’s facial recognition camera network to track people with COVID in real time and ensure they are wearing face masks. The system will first be tested in Bucheon, on the outskirts of Seoul, in January before being extended to other areas of the country. The scheme uses artificial intelligence and facial recognition software linked to the city’s 10,820 security cameras “to track the movements of active cases and their close contacts, and to determine whether they wore a mask,” reports RT.”

Published by markskidmore

Mark Skidmore is Professor of Economics at Michigan State University where he holds the Morris Chair in State and Local Government Finance and Policy. His research focuses on topics in public finance, regional economics, and the economics of natural disasters. Mark created the Lighthouse Economics website and blog to share economic research and information relevant for navigating tumultuous times.

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