At the same time, in customer-oriented services, and retain the client at each stage of the process, it is a priority to minimize FNR. It is important to note that the current level of development of facia new zealand telegram number databasel recognition systems makes it easy to find a balance between FPR and FNR to ensure maximum security without complicating the customer journey.
Another nuance concerns the specifics of technology implementation. To maximize the effect of the facial recognition system, it should be implemented in a pre-optimized business process. Another condition for implementation is the joint development by the vendor and the customer of both the overall architecture of the solution and the place of the facial recognition system in this architecture.
Possible vulnerabilities According to Gartner , by 2026, up to 30% of companies using facial recognition systems will face cybercrime. Attempts to deceive the system are limited only by the imagination of the attackers, but attacks on the biometric system can be divided into two types: biometric presentation attack - when a fraudster tries to show a data carrier with an image of the person he wants to impersonate to the camera.
The fraudster can use a printed photo, a phone screen with a photo, or even a realistic 3D mask. A well-known story is when hackers hacked Face ID on an iPhone using a $150 silicone mask; A deepfake attack is when a fraudster uses technology to create digital attacks on facial recognition systems.
Where it is important to ensure conversion
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