Face Liveness Detection In Face Recognition

Face Liveness Detection is a technology in face recognition which checks whether the image from the webcam comes from a live person or not. Face Liveness Detection is an essential prerequiste of Face Recognition system.
In face recognition, the identification of an individual is done by comparing the captured images with the stored images of that person in real time. These recognition systems are in the rapid development phase and are accumulated with a new strong algorithm that improves the system day by day. However, these systems are facing many security issues as frauds are increasing on a daily basis and there is a need to upgrade these systems to make them more secure, reliable and automatic. So by observing all these things we are inspired to build our project “Face Antispoofing System” which not only improves the existing system but also adapts to some of the security challenges making this system more secure and reliable.
In this video tutorial, we perform the end to end pipeline for deploying the face antispoofing system by using opencv. First, we train the liveness detection model by using our own dataset and then we deploy the trained model using opencv and python.
Workflow of the system :
At first, the input image is captured by using a webcam and then we apply face detection algorithm to the input image. Then the detected face is forwarded to the liveness net which check whether the image comes from a real person or not.

[iteducationnepal-]

Thank you for posting very nice content. All the best for future projects and innovations. Keep learning keep contributing for IT society🇳🇵

[laravelframeworkintelugu]

Are there any other datasets available like this. Could someone share the dataset reference if you have 😢

[Rajady]

Last five minutes you changed, that file needed...?

[harisamin]

the file named original vs new_dataset.png is not in dataset from where you picked this file

[suseeindran-qhqy]

Training accuracy is lesser than the validation accuracy, is this fine ? I'm a newbie.

[thegrasshairboi]

is this anti-spoofing system compatible with flask

[ashutoshgupta]

if we show video from mobile its detecting as real, how to fix that ?

[Damilola]

the liveliness code does not work on mac book

[BaoNguyen-ldiz]

why change the hexadecimal image size to 160x160

[moihoclaptrinh]

hello... What algorithm does this work? and Article link ?

[zorbeyaslan]

I run the code. It detected my faces but it didnt work. All fake faces in photos on my tablet screen are detected as a real face!

[MONARKZAVERI]

man..can u share...th model that u built using ur own dataset and replacing in last five minutes?? the antispoofing model that u uploaded isnt accurate...i need th one that u build hede with lots of function...

[hakankarapnar]

Hello, thank you so much for the video
can i apply RSNET-50 network instead of your model? i am newbie to deep lerning topic and i need to do something different for my project. thanks in advance

[sunilyadav]

Great job. but how you collected real and fake images in the given directories.

[mukulmishra]

how did you collected the spoof dataset?

[abderrahimbenzina]

waht have me original vs new_dataset.png

[aicogivui]

feasible to know, but not practical in reality. In truly face recoginition system, it's seem possible for engineer to collecting all fake images.

[virugupta]

hello brother, it is also displaying as real for photos, and in toggling between real and spoof for mobile photos.
I think the model is trained such that it detects spoof only if photos are too bright or blurry.
brother pls help me with a solution