Wearing a face mask makes it harder for facial recognition algorithms to see you, according to a new government study
- A new government study found that wearing face masks makes it harder for facial recognition algorithms to recognize people.
- The typical error rate for most facial recognition algorithms is 0.3%. When subjects in the study wore a face mask, the error rate rose to anywhere from 5% to 50%.
- The algorithms are less likely to recognize someone wearing a mask over their nose, the study found. Wide masks that cover the full face were more likely to trick facial recognition than round masks.
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Wearing a mask doesn’t just limit the spread of COVID-19 — it may also makes it harder for facial recognition algorithms to identify you, according to a new study.
The National Institute of Standards and Technology tested 89 facial recognition algorithms, which have an error rate of around 0.3%. But when those algorithms were used on subjects wearing face masks, the error rate jumped to anywhere from 5% to 50%, researchers found.
The federal government conducted the study in part because it’s using facial recognition algorithms to track people’s movements and identify suspects across the US, where mask-wearing is now recommended to slow the spread of COVID-19. …continued .
[Source: Business Insider]