Face Antispoofing System (Liveness Detection In Face Recognition System)

Face Antispoofing system is a biometric system of checking whether the face comes from a real person or not. We use liveness detection in Face recognition system to create a Face Antispoofing System. As face recognition is improving day by day, the security attackers are posing new threats and problems in face recognition technology and there is a strong urgence or need for face antispoofing system. They are inventing new techniques to fool and bypass the face recognition security systems.So, there is a strong urgence of face antispoofing system. In this video, we will cover about the security issues and problems in face recognition technology and then we will look into the solutions to prevent such kinds of attacks. The working demo of the solution is shown at the end of this video.

[@quangtuyennguyen4081]

good. thank you very much

[@thangthai2476]

This is great! Somehow may I ask you if we can replay from an ipad with high resolution, what are your suggestions? Actually we are very much interested in what you are doing so please share more details regarding how did you built the anti-attack? (i.e. spectrum is different from real and monitor, background...)
Thank you so much, if we could discuss more with email it would be exceptional helpful.

[@syedasiranjumrafi7752]

Which algorithm did you use?

[@DhanushyaS-sj6xw]

It's really good and clear...✨can you explain the full project and can you provide source codes..

[@madhavpatel4985]

will i have to train the model again if i wish to use it for a project after i clone your repository ?

[@durgarukminibandaru9518]

Is it possible to add this live detection in smart attendance system

[@rahulanand779]

bro..!! i'm getting error Import "tensorflow.keras.preprocessing.image" could not be resolved help me out..!!!

[@James-rr1ul]

is this able to work with flask

[@softsilksarees7991]

Bro how can we add this file to our main face recognition program bro

[@davidrubenbalsecakelal7784]

Hi great job .. I would like to you about a project

[@Rajesh-xk5kv]

Hi, thanks for this great video!!.
Is it possible to create liveness detection model for other objects (other than face)?

[@Rajesh-xk5kv]

Please share any suggestions or code to do it if possible

[@dennisasamoah2213]

Great video, does it work on replay attack

[@prabhatale1135]

Yes.. it works on replay attack as well.. You can see that in video as well...

[@ShobhitSharmaMTAI]

which model architecture the pretrained model is?..on which dataset it was used to train?

[@prabhatale1135]

I used mobilenet architecture to build the model... It was build on a custom dataset for the project ...

[@ShobhitSharmaMTAI]

Thanks..can we paas the model to fake faces generated and real faces by dcgan network..

[@ShobhitSharmaMTAI]

@@prabhatale1135 custom dataset you mean from normal images?

[@prabhatale1135]

@@ShobhitSharmaMTAI It was tested with replay attack and images datasets...You can see it outperforms on two different types of attack ...

[@prabhatale1135]

@@ShobhitSharmaMTAI These things are not tested...bro.. You can do your research here bro...and share with me..

[@rohitganeshkar1664]

Can u provide link for datasets

[@MONARKZAVERI]

did u find the model he created which he didnt upload anywhere??? i wnt it...share it if u hv...

[@shwetapolicepatil5459]

Is it possible to share code?

[@prabhatale1135]

sure... you can look at the code here...
github.com/prabhat-123/Face_Antispoofing_System

[@shwetapolicepatil5459]

@@prabhatale1135 thank you

[@ilkeronurisik5]

Hey bro please source codes :(

[@pavanavasarala2873]

upload model in github

[@MONARKZAVERI]

did u find the model he created which he didnt upload anywhere??? i wnt it...share it if u hv...