Face ID on WebPos
Introduction
Linga Face ID implementation allows users to clock-in/out or to login to WebPOS (POS implementation coming soon) by matching
the camera capture of the face of a user with his/her existing photo in the system, by using face recognition APIs and
algorithms. In this document, settings
that needs to be done to use the Face ID feature and the usage of Face ID are
explained.
Enabling Face ID
To enable Face ID for a store, you should first login to Backoffice and
choose your store and the navigate
Application Setting page (Settings->Store->Application Settings) and
then, locate the ‘Log in/ Clock in Via' field.
When
you click this field, you will see ‘Pin’ and ‘Face ID’ pre-defined options for clocking or logging in and
you should choose ‘Face ID’ to
enable it.
Settings in The WebPOS
Login
to WebPOS and then click the ‘Settings’ icon in the left-bottom of the orders screen. (You can also
click
‘Operation’ and then enter your pin to see POS Operation menu)
Then
click
‘Face ID’ from the left menu.
Click the green circle icon opposite the name of the person you want to take a picture of. (Make sure that a camera is connected to your PC).
‘Scan Your Face’ window will be displayed, and
the picture (Face Id) will be taken within 3 seconds. Note that this picture will be compared with the photo taken while the user is
clocking/logging in.
Clocking/Logging in Using Face ID
Once you enabled Face ID for WebPos
and pictures of the staff are taken, users can use Face ID to clock in/out or to login WebPos. Below, you can see the login page of the WebPos after enabling the Face ID option.
When you click Face ID button on the login
screen, the ‘Scan Your Face’ window will be displayed again, to capture the photo of the face of
the person that will to login iPad. This photo will be compared to the picture already taken in the Face ID settings of
the iPad app and if they match, the user will be allowed to login.
Like login,
you can use your Face ID for clocking in (or out). Click the ‘Clock In’ button,
and then select ‘Face ID’ to clock-in
via Face ID option. The user’s face picture will be taken and compared with the photo in the system.
Note that Face
ID feature is running face recognition algorithms behind the scenes. This means
that the system will compare a given piece of the picture taken while you are clocking in/out or logging in, pixel by pixel, with your picture in the system, in order to predict if it’s you who is trying to login via Face ID or not. Therefore, to avoid face recognition failures, it is recommended that you keep the position of
your camera as stable as possible and take photos from the same distance as
possible with your current photo in
the system.
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