ID Tech

Facial Recognition

Facial recognition matches a photo of a face to an identity.

Facial recognition is a biometric modality that analyses the geometry and texture of a person’s face to establish identity. Modern systems rely on CNN embeddings and achieve <0.1% FNMR on NIST FRVT benchmarks.

Latest Updates

  • 2025-07-01: Tinder, Deliveroo, Uber Eats and Just Eat expanded selfie or facial-verification checks to fight bots, deepfakes and illegal-account rentals in CA and UK gig-economy platforms.

References

Vendors using Facial Recognition

Aware, Inc.Cognitec SystemsCLEAR Secure, Inc.Daon, Inc.FaceTecHID GlobalIDEMIAJumioNEC CorporationNeurotechnologyOnfidoShufti ProSuprema Inc.Thales GroupVeriffLakota Software SolutionsAuthenticIDKeylessInnovatrics

Latest Data Cards

  • Data Card

    ShopRite Facial Recognition Use Draws Scrutiny as Connecticut Considers Retail Restrictions

    2026-01-12CC-BY-4.0facial-recognition

    CT Insider reports facial recognition signage at ShopRite stores across Connecticut as lawmakers move toward legislation that would restrict biometric collection in retail. The disclosures highlight data sharing and retention practices while the state debates new limits.

    • Reporters saw facial recognition notices at seven of eight ShopRite stores visited; staff confirmed use at the eighth.
    • Signage says facial geometry is analyzed for security and non-matched data may be retained for up to 90 days.
    • Connecticut legislators say they plan to introduce a bill that would prohibit biometric collection in retail settings.
  • Data Card

    FaceTec Appoints Cameron D’Ambrosi as Head of Strategic Partnerships for North America and EU

    2026-01-06CC-BY-4.0facial-recognitionpadfacetec

    FaceTec appointed Cameron D’Ambrosi as Head of Strategic Partnerships for North America and the European Union, describing the role as focused on expanding deployments of its 3D face verification and liveness technology.

    • FaceTec describes the role as spanning enterprise integrations and public-sector digital identity programs.
    • D’Ambrosi is identified as a co-founder of Liminal and host of the State of Identity podcast.
    • FaceTec positions liveness detection as a control for AI-enabled fraud and presentation or injection attacks.
  • Data Card

    Neurotechnology Reports Level 2 PAD Evaluation for Face Liveness Technology

    2026-01-05CC-BY-4.0padfacial-recognitionneurotechnology

    Neurotechnology says its face liveness and presentation attack detection technology passed a Level 2 evaluation aligned with ISO/IEC 30107-3, conducted by BixeLab.

    • The company describes Level 2 testing as covering more sophisticated presentation attacks than Level 1, including variants beyond printed photos or screen replays.
    • Neurotechnology’s announcement does not disclose quantitative metrics or test configuration details.
    • ISO/IEC 30107-3 defines testing and reporting requirements for PAD but does not prescribe a universal pass/fail threshold.
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Frequently Asked Questions

How does facial recognition work?
Facial recognition uses algorithms to analyze facial features—such as the distance between eyes or the shape of cheekbones—to create a unique digital signature for identification.
How accurate is facial recognition technology?
Modern facial recognition systems can achieve very low false match rates (below 0.1%) under controlled conditions, but accuracy may vary with lighting, pose, and image quality.
What are common concerns around facial recognition?
Concerns include privacy violations, potential bias against certain demographic groups, and misuse by surveillance systems without consent.
What is Presentation Attack Detection (PAD)?
PAD aims to detect spoofing attempts (e.g., photos, masks, deepfakes) and is evaluated separately from matching accuracy using standards-driven tests.
What are 1:1 vs 1:N operations?
1:1 verifies a claimed identity (authentication), while 1:N searches across a gallery (identification). They have different accuracy and scalability considerations.