Face Recognition "Anti-Spoofing" openCV Python

This project is about Face Liveness and Anti-Spoofing detection.
It is Not about simple face detection.

Payment for work done. Plus good Bonus for a fast delivered end result.

I am looking for someone with current experience to create an Anti-Spoofing / Liveness Face Recognition Library that can be used in Android, iPhone and via a Web page at the server side. The Web page component will likely be javascript for the user-interface and run back to the logic processing at the server end.

** I have seen and tried a few Github projects that if combined might create the result I am looking for. **

OBJECTIVES

A) Create using some Github projects, a Web process for Face Detection and Matching (Recognition)
Can use existing openCV and Eigenface code for Matching/Recognition

B) Create a similar process in a Library that can be used in Android and iOS

A-1. Easy
Combine a few Github projects for Face using Javascript / Node.js etc

A-3. Difficult
Anti-Spoofing. Using one or combination of Github projects combat against Spoofing that uses printed images, photos or phones imahes / video.

By Anti-Spoofing I mean that the code will be able to detect if the face is Human or a Photo representation.

PERSON
Ideally someone who knows about Models, Alignment, CNN / Caffe, Liveness, AntiSpoofing

LANGUAGES AND LIBRARIES

C++ openCV
C# Eigenface
Python Face Recognition
Javascript
JAVA
Android

This project can be tackled in a number of ways and I am open to suggestions on how that can be done.

For example ;

a)
i) - Capture the Face points to determine it is a Face - (Detection - easy)
ii) - Request the user moves their face / smiles / closes an eye - (Liveness - easy)
iii) - Apply an Anti-Spoofing algorithm to the image using a trained model (this is the tough bit)

There is plenty of existing code for i) and ii) for 64 point and 106 point which is better and I have also tried them for Detection with sucess.
br/>ANTI-SPOOFING

Below are a number of Github projects some of which look like they might do the job.
Some are in Chinese so you might need Google Translate. I did and it is fine.
Some are in Python so for a Phone solution they will need to be run inside something like Chaquopy or converting it to Javascript or C# or Java etc.

There are quite a few Python code converters available even online ones. If I need to purchase one for you I can probably do that.

https://github.com/SoftwareGift/Face-Anti-spoofing-for-RGB


PROCESSING RESPONSE TIME
This is an important consideration and this matter should be taken into account.


B-1.
LIBRARY
The Android and iPhone libraries will be whatever is most appropriate for those platforms.

You will need to be able to ;

a) create the Library
b) create a simple test app for each platform to demonstrate it working

Reply with the word BUTTER so I know you have read the job.
About the recuiter
Member since Nov 11, 2022
Prabhat Shindiala
from Provincie Utrecht, Netherlands

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