‫Well, hello, my friends, and welcome again and this video.
‫We are going to show you the app that we are going to build in the next videos about that face recognition
‫kit inside the ML kit from the Firebase.
‫So we are going to use the machine learning kit from Firebase in order to embed in order to include
‫the face recognition property to our application.
‫For example, this is our simple application that we we will have as a final product.
‫We have a text of view.
‫We have a camera button here.
‫If we click on camera.
‫I will I will run it on my device.
‫So this is my little device.
‫And if I open this picture, see, guys, I am having this picture here.
‫Okay.
‫I will.
‫But like this.
‫If I have this picture.
‫Like this if I took the picture.
‫And I will click.
‫Okay.
‫Then the market will be displaying for me that information and the data about every face has been tagged,
‫so the application will tell us how many faces detected.
‫We have 13.
‫Let me count it.
‫One, two, three, four, five, six, seven, eight, nine, ten, 11, 12, 13, 13.
‫And for every, every phase, it's a probability of right eye, open, left eye open.
‫The smiling probability, the degree of of tilting for the head and the head rotation to the right.
‫How many degrees?
‫So you see, guys, these are the information that every phase detected in this picture.
‫We have its own its own property.
‫So I hope you will be patient and paying attention with me in order to make this amazing application,
‫in order to make use of this amazing library, which is the face recognition.
‫And it's a basic and very important application packages that we will use later on in the next complex
‫application applications and projects.
‫So this is the building block of MLK.
‫If you understand it, it will be it will be fine.
‫So while you're waiting for, let's start building this amazing application.