Thanks to @Rosa Maria Molteni and @Piergiorgio Vittori of Spitch who reported the report published by the National Institutes of Science and Technology (NIST), the physical science laboratory of the United States Department of Commerce.
In the study, researchers tested the performance of facial recognition algorithms on faces partially covered by protective masks.
The publication reports that the 89 tested commercial facial recognition algorithms developed by several companies, including Panasonic, Canon, Tencent, had error rates between 5% and 50% in matching faces with applied masks. digitally compared to the photos of the same person without a mask (here the Link from the NIST website with the complete data).
The study, therefore, raises further doubts concerning the use of facial recognition technologies (recall the debate on GDPR policies) and strengthens the position of voice technologies also in the field of biometric recognition.