How do you find if a computer/laptop has support for Windows Hello?

In your computer,

Start | Settings
then go to,
Accounts | Sign-in Options

If it is supported you should find it there.

On a Dell Inspiron 7559 laptop it is not supported
as shown:

WindowsHello_1

The same instruction for Windows Mobile camera, Microsoft Lumia 950

WindowsHello_2

It is supported. Click Improve recognition and follow the instructions. Your iris will be scanned and saved. This is later compared with the iris the next time you switch on the phone. If it matches you are logged in automatically. If not, you will have to get in using PIN or password.

Does it work?

Yes and No. It has mechanical stability problems. If the camera is stationary and you approach with your eyes open to it, it may. In the hand held mode(vibration, shaking etc), it cannot. Very limited usefulness.

What is Windows Hello and how to enable it?

Windows 10 uses bio-metric signature of an individual as a security feature of a Windows 10 device, be it a Windows Phone or a Windows tablet/PC. Windows Hello makes this possible in Lumia 950 with an iris scanner. It can also be of two other types and some devices may have more than one type. As an alternative the device should also have the option of other non-bio-metric of authentication such as a pin or a username/password pair.

Lumia 950, the Windows 10 phone has an iris scanner built-in to the camera that compares an individual's iris image to the one that it stored during the initial set up and the phone is unlocked when there is match. if not, the phone asks for the pin number to be punched in to unlock.

The other Windows Hello options are finger print recognition and facial recognition.

In what follows I show some of the screen shots for setting this up on a Lumia 950 Phone. Not all types of Windows Phone has this feature.

First of all this is a high resolution photograph of a human iris from an UK site here.
It is easy to believe the iris signature is far superior to finger print if the camera is good.

Setting up Iris Recognition:

Yous start with Settings on your Lumia Phone after setting up a pin to login. In Settings look for Personalization.

Lumia950_00.png

Go down the list and click Lock Screen to open the Lock Screen Page as shown.

Lumia950_01.png

 At the very bottom you find Sign-in options. Click this link. The Sign-in options page opens as shown.

Lumia950_02.png

There is link if you want to know more about Windows Hello. But there is a Iris(Beta) Set up button. Click the button.
You get a Welcome to Windows Hello page. You can not only unlock your phone without complex passwords but you can buy stuff from Windows Store.

Lumia950_03.png

Click on Get Started. The Camera becomes active and you will be asked to move closer or farther (as the case may be) so that the camera can take its standard image of your eye as shown here.

Lumia950_04.png

You will be asked to hold your phone in front of your eyes (I did open my eyes a little more than wider to make sure he camera got it all) as shown.

Lumia950_05.png

Click Next while you are holding the camera and looking into it.

Your setting up has been successful. You may do it even with your glasses on so that with or without glasses you can unlock your phone.

Lumia950_06.png

It did work quite well. There were a few times it did not and then I had to use my pin. But this is much better.

What is Windows Hello?

Image recognition is at the heart of this new way of telling who you are to your computer, apps etc. You can unlcok Windows 10 devices and apps using your finger tip for finger print, iris of your eyes or face. It is simple, convenient and hassle free but will sacrifice neither security nor privacy. This is cool stuff. It's not business as usual trying to recover your password and do not remember the hint; get a code to access, etc. It is hassle free but probably come with some ancillary issues like the requirements; which of the devices are supported that kind of thing. This combined with yet another authentication should make it lot more secure.

This video explains it with some examples: