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Biological identifiers like fingerprints, face, iris, and retina scans can be used for authentications. However, it requires a reliable biom
NEC's face recognition technology ranks first in NIST testing because it can collect up to 80 measurements. This information is converted into a mathematical formula. This mathematical formula represents a facial signature. This signature is compared with templates already stored. The software then authenticates a person.
NEC's CANI Project represents a remarkable leap forward for the Andaman & Nicobar Islands, catalyzing digital transformation and ensuring that these islands, with their unique charm, can also thrive in the digital age. This initiative not only connects the islands physically but also brings them closer to the rest of the world in the digital realm, promising a brighter and more connected future for the residents of this remote paradise.
