Unlock Your Application With Your Face using OpenCV

Key Takeaways

hello all today we will try to create an application which and will implement a face recognition by using open CV by using face recognition will try to unlock that particular application now when I say unlocking a particular application you're not creating a full-fledged application but instead I will try to open a webcam and we'll train our model with our faces by using open C and then when there is a highly confidence more than 75 person then the application will automatically open all right or at least it'll display a message saying that that issue will successfully open now to begin with is first of all the first step that I am going to do and one more very important thing about this is that we will try to I will try to capture the training data in front of you only in this particular video and then we will train that and you will be seeing that by using this open CV lbh face recognizer which is a face recognizer which is provided in open sea this is very very good because the training usually will be taking very less amount of time because we are good to convert that images into arrays and that but flower values will be trained into this particular lb edge face recognization we will just try to discuss about lbh face recognizer which is already provided in open sea so before that I'm going to create some training data while creating training data what I am going to do is that first of all I'm going to use the Cascade classifier and I have this hard cascade frontal face default what Excel which will be able to capture the face features and then what I'm going to do I am going to just take each and every frame and this is this this whole block of code is actually creating the training data so what I'm going to plan to do is what I'm planning to do is that I'll take hundred frames of my images and I'll store it in a folder later those images I'll be taking it I will be draining with my with my he'll be p lb pH face recognizer which is provided by open CV and then we'll try to see whether we have it will recognize my face and it will unlock the unlock that application or so to begin with here is the code what we are going to do is that first of all I am going to load this arc Cascade phase classifier and then here I am going to read my friends from this when I'm reading my frames at each and every frame and storing in this folder which is that face slash user so you can also write to your own folder names and now what I am doing on each and every count since I want hundred frames you can see that I have given a condition like if hundred is equal to three I'm going to break from there okay so what I'm going to do 100 different images I'm going to store in this folder which will be my training data and this resizing and all I'm doing it because I just want to take my face structure so don't worry about this code guys I'll be providing this code in the github link so to begin with let us go and collect our sample data which will be used as a training data so I'm going to execute this whole line of code and let's see you can see that over here are my flames egg of my faces are getting captured and as soon as 100 frames get over my particular data is ready now you can see that over here inside my faces users I have all my hundred different images so you want to see and click onto this you can see that each and every images are there now after that what I am going to do is that next thing is that I am going to use algorithm which is called as lbh face recognizer let me go to that into the document of OpenCV and this is an algorithm which will actually help you to do see certain Lisa if you want to read more about this particular algorithm can go over here and read it it will basically convert all the images we basically have to convert all the images into arrays and give it to this particular algorithm so that I will get trained with respect to that specific images now after this what I'm going to do I'm going to tree in my model now for training our model what I am going to do is that I'm going to read each and every images from that particular folder I'm going to read that I'm going to convert that into L hurry and this is my unit that that is unit 8 and then after converting into an array I will try to pass this and create my object of LDH face recognizer and then I'm going to do my model training that's it now you see this the best thing about this is that when I execute this this is hardly take around or two to three seconds to just train the model when you can see that model has got successfully it's just two to three seconds max of two to three seconds now the next thing is that I will try to read my facial now let us go and test whether my model is able to detect me on so first of all in this only three blocks of code guys again I'm going to read away here my frames and then you can see that I am doing model dot Brady yeah I have written a condition that if my confidence is greater than 75 it will show me a holo otherwise it will show me block that's it that's the whole code about this and here it is I'm going to execute it and you can see it over here as soon as I execute this you can see that it is it is able to recognize my image and it is sometimes saying no face form that may be because of lightening factor but if I come into the right lightening face it is saying that yes the user is found and it has been unlocked so due to some lightening factor it may not give you an accurate result but yes now you can see that my confidence is more than 75 percent and it is actually so this was about the small application where you can just create it and by using face recognition that is already provided in open CV you are able to unlock it I hope you like this video tutorial guys please do subscribe the channel if you have not done and I'll be uploading this whole code in the github link so you can get it from there and try it by yourself thank you one at all I'll see you the next week