Designing a Face spoofing model

[Hiteshydv001]

Feature Request: Face Spoofing Detection Model

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Is your feature request related to a specific feature or functionality? Please describe.

I want to request the design and implementation of a Face Spoofing Detection Model to differentiate between real and spoofed facial inputs. This feature is critical for ensuring the security and reliability of facial recognition systems against presentation attacks such as printed photos, videos, or 3D masks.

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Describe the feature or solution you'd like to see implemented.

• Core Functionality:

  • Detect and classify whether an input face is real (live) or spoofed.
  • Support various spoofing scenarios:
    1. Print attacks (photos).
    2. Replay attacks (video replays).
    3. 3D mask attacks (synthetic masks).

• Output:

  • Detect with bounding box and confidence score for real and fake

• Deployment:

  • Provide separate file for testing all functions

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Describe any alternative solutions or workarounds you’ve considered.

• Alternatives:

  1. Using pre-trained models such as DeepFake Detection frameworks and fine-tuning them for spoof detection.
  2. Combining traditional image analysis techniques (texture, liveness cues) with deep learning-based solutions.

• Challenges:

  • Existing solutions may not generalize well across different datasets or lighting conditions.
  • High computational requirements for real-time detection in low-resource environments.

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• Tech Stack Recommendation:

• Can use of your choice

  • Backend:
    • Deep Learning Frameworks: TensorFlow or PyTorch.
    • Model Architectures: ResNet, EfficientNet, or Vision Transformers (ViT).
    • Use CNN-based approaches for texture analysis or hybrid models like MesoNet.
  • Dataset: CASIA-FASD, Replay-Attack Database, or CelebA-Spoof.

• Additional Features:

  • Add support for detecting environmental context (e.g., checking background consistency).
  • Multi-modal analysis by combining audio and video data for enhanced accuracy.

• References:

  • CASIA-FASD Dataset.
  • Replay-Attack Database.
  • MesoNet: A Compact Facial Spoofing Detection Model.

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[Nikhil210206]

I would like to work on this

[Hiteshydv001]

Add readme with demo video wrt to this feature

[Nikhil210206]

okay