Underneath we’ll get into a portion of the arrangements on How To Set Up Face Recognition Samsung Galaxy Note 9.
The Samsung Galaxy Note 9 is an Android phablet smartphone designed, developed and marketed by Samsung Electronics as part of the Samsung Galaxy Note series. It was unveiled on 9 August 2018, as the successor to the Samsung Galaxy Note 8.
The Note 9 has a 6.4 inch 1440p Super AMOLED display with an 18.5:9 aspect ratio. The design on the front is otherwise similar to the Note 8, using an “Infinity Display” as marketed by Samsung.
The Note 9 has a Qualcomm Snapdragon 845 SoC in the U.S. and China or a Samsung Exynos 9810 SoC outside the U.S. & China. It has 128 or 512 GB storage options. The 128 GB model has 6 GB of RAM while the 512 GB has 8 GB of RAM. All models also have a microSD card slot as well potentially maxing out the phones storage to nearly a Terabyte of data.
The Note 9 has IP68 water & dust resistance and a USB-C connector that supports Samsung DeX without a dock and the phone also has a 3.5 mm headphone jack along with AKG tuned stereo speakers with Dolby Atmos support.
How To Set Up Face Recognition Samsung Galaxy Note 9:
Even in the age of filters, everyone still has their own unique facial features that no one else can imitate. Because of this, you can add Face Recognition to your Lock screen to create an extra layer of security. Only your individual facial data will be able to unlock your phone.
From Settings, search for and select Face Recognition under BIOMETRICS AND SECURITY. You will be required to enter your existing credentials before proceeding. Read the DISCLAIMER and then touch OK. Then, follow the on-screen instructions to register your facial data.
Once it’s registered, choose your desired setting.
Remove face data: Delete stored face information.
Samsung Pass: Access online accounts using face recognition.
Face unlock: Turn Face Recognition on or off.
Screen-on face recognition: Unlock your device with Face Recognition as soon as the screen turns on.
Faster recognition: Allows the recognition process to work faster, but reduces accuracy.
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