Data Collection

Fabric Mask Dataset for Biometric Testing

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Understanding how AI systems perceive human faces requires more than standard images.
Fabric masks that accurately replicate facial features (front, sides, and back) allow testing systems under realistic, multi-angle conditions, revealing vulnerabilities and improving recognition robustness.

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The Task

The goal was to create fabric masks that accurately mimic human facial features for biometric testing. Standard masks typically cover only the front of the face (180°), but our dataset required full coverage, including the back and sides, so respondents could move naturally without compromising data integrity.

Key requirements included:

  • Full head contour for multi-angle recognition
  • High-quality, realistic prints with modular replaceable
  • Material flexibility, including thinner fabrics similar to nylon hosiery for enhanced biometric testing accuracy

The Solution

3D Design and Production

We developed a 3D breakdown of the head structure to guide the supplier. This allowed:

  • Integration of fabric with complete head coverage
  • Customizable inserts for facial features to increase realism
  • Post-production assembly that preserves the head’s natural shape

Material Selection and Printing

Different fabrics were tested, including lightweight, semi-transparent options, which better simulate skin and allow anti-spoofing testing. Prints were optimized for:

  • Hyper-realistic textures and pigmentation, including micro-details like freckles or subtle wrinkles
  • Multi-layered construction for durable, realistic results

Process Optimization

Even with a capable supplier, fabric mask production involves scaling challenges. We:

  • Standardized instructions for assembly and quality control
  • Monitored consistency across samples and materials
  • Ensured flexibility to swap parts for live testing scenarios
StageInputWorkflow ScopeMain Quality Checks
Concept SetupClient requirements & biometric testing goalsRequirement analysis, use-case definition, design constraintsRequirement clarity / Feasibility validation
3D DesignHead structure specifications3D modeling, full head contour development, feature modularity designGeometric accuracy / Full coverage integrity
Material SelectionFabric samples, print specificationsTesting fabrics, selecting textures, optimizing print qualityMaterial realism / Print fidelity
Production3D models, selected materialsFabric mask manufacturing, assembly of modular facial featuresStructural consistency / Assembly precision
Quality ControlProduced mask samplesInspection, consistency checks, defect identificationVisual realism / Production consistency
Optimization & ScalingValidated mask prototypesProcess standardization, workflow optimization, scalability setupRepeatability / Scalability readiness
2 weeks
Concept & Requirements Alignment
4 weeks
3D Design & Prototyping
4 weeks
Material Testing & Printing
3 weeks
Production Setup & QC Standardization

The Results

  • Successfully produced initial samples for early-stage testing with full head coverage
  • Created a scalable workflow for future production of hyper-realistic fabric masks
  • Established expertise in multi-angle, realistic mask fabrication for biometric validation
Biometric testing requires physical artifacts that behave like real human features under all conditions. Realism is achieved through accurate geometry, material selection, and consistent production quality across all samples.
Hanna Parkhots
Hanna Parkhots
Data Collection Project Manager

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