Bengaluru airport become first in Asia to use face recognition

Kempegowda International Airport (KIA) in Bengaluru, capital of Karnataka is set to become the first airport in Asia to introduce face recognition based passage system

technology from 2019.

To implement this, Bengaluru International Airport Ltd. (BIAL), which operates KIA has signed agreement with Portuguese software firm Vision Box.

Details:

The face recognition based passage system will allow passengers to board flights and move across different sections of the airport using automatic biometric boarding procedure instead of manual boarding passes verification.
In this case, face will serve as the boarding pass.
The first implementation milestone of this system at KIA will be completed in the first quarter of 2019, with Jet Airways, Air Asia and SpiceJet passengers as first users.

Benefits:

Face recognition based passage system will simplify journey of air passengers by making it paperless from registration to boarding.
Biometric technology will identify passengers by their face as they move across airport, avoiding stops and repeated presentation of boarding passes, passports or other physical identity documents.
It will enable seamless journey fo passengers, without obstacles, waiting lines or hassles, from registration to boarding.

Significance:

On complete implementation, this will be first end-to-end face recognition-based walk through experience in Asia and largest in the world.
It is also one of the most significant steps towards Digital India campaign endorsed by Central Government.

Note:

Voice Box had showcased its face recognition-based passage system for first time for Lufthansa passengers at kiosks at Los Angeles airport in US in March 2018.
It had allowed Lufthansa passengers to use biometric boarding procedure instead of boarding passes.

Question:

Q. Kempegowda International Airport (KIA) in Bengaluru, is set to become the first airport in Asia to introduce a passage system based on which technology from 2019?
a. Retina recognition
b. Face recognition
c. Finger print recognition
d. None of the above