Examples of Facial verification in a sentence
Facial verification is typically used for personal applications, such as unlocking a smartphone or apps, boarding an airplane, authorizing purchases and other payments, and for facial recognition employee timeclocks.
Face Verification Success Rates 51.57%48.43%DisabledBase: 223 Quota and Opportunistic Opportunistic Base: 2341 30.41%69.59%30.54%69.46%Base: 1598 30.82%69.18%QuotaBase: 743 Passed Failed Figure 21 - Facial verification success by sample group Although Figure 21 shows a higher failure rate for the Disabled participant group than for the Quota and Opportunistic sample groups, disability does not seem to be a factor.
In the case of facial verification, MNO will effectively verify the Customer’s NIN data and using electronic Facial verification and case-management which includes manual facial verification (eye-balling);IV.
It provides the primary basis by which travellers can be linked to their digital profiles with ease and a degree of accuracy – as one presentation of a KTDI pilot project notes, “Your face is the key”.2 Facial verification permits enrollment officials to reliably verify a traveller’s identity when first establishing a KTDI profile.
In the case of facial verification, Communications Service Provider will effectively verify the Primary Telecom Master’s NIN data using electronic Facial verification and case-management which includes manual facial verification (eye- balling);5.
The commencement of full compliance with electronic matching for Facial verification shall be ascertained by thresholds and standards set out and determined by the NCC.
Subscriber provides Verification Form: Primary TELECOM MASTER details with Passport Photograph & Consent Form to use NIMC Foundational data as Functional data for SIM Registration.6. Communications Service Provider executes electronic Facial Verification and Case-management which includes manual Facial verification (eye-balling) process to treat mismatch & effectively verify Primary TELECOM MASTER NIN;7.
We thus develop an ATM model which provides security by using Facial verification software Adding up facial recognition systems to the identity confirmation process used in ATMs can reduce forced transactions to a great extent.
Facial verification systems will only compare the two images side-by-side and determine the probability that the people depicted in them are the same, based on the how the system has been ‘taught’ to identify likeness.
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