While many facial recognition companies have claimed they can identify people with pinpoint accuracy even when they’re wearing face masks, the latest study shows that coverings are dramatically increasing error rates. For instance, during NIST’s test, Rank One’s algorithms without masks generated only a 0.6% error rate, which was increased to 34.5%, once the masks were on. The error rate ranges from 5-50 per cent and even goes up to 99%.

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