[Developers]

Biometric Analysis and Identity Verification

A bank robbery investigation yields no usable fingerprints. The suspects wore gloves. But three different ATM cameras captured their gait as they approached and left the branch, and a fourth camera caught the edge of one

Category: ForensicsLast Updated: Feb 5, 2026
forensicsaireal-timecompliance

Overview#

A bank robbery investigation yields no usable fingerprints. The suspects wore gloves. But three different ATM cameras captured their gait as they approached and left the branch, and a fourth camera caught the edge of one suspect's ear as he turned away. Gait analysis across the three camera angles produces a distinctive walking pattern. Ear biometrics against custody photographs from a prior offence confirms the match. Fingerprints are not the only path to identity, and modern investigations rarely have the luxury of relying on a single biometric modality.

The Biometric Analysis platform provides multi-modal identity verification for law enforcement, security teams, and investigators. Match fingerprints, recognize faces, verify voices, analyse walking patterns, and compare iris patterns from a single integrated system. The platform supports every major biometric modality at law enforcement-grade accuracy while remaining accessible to analysts who are not biometrics specialists. Confidence scores accompany every result, ensuring findings are communicated with appropriate precision for investigative use and court presentation.

Open Standards#

  • EU AI Act (Regulation (EU) 2024/1689): Facial recognition is classified as a high-risk AI system under Annex III 1(a) and 6(e); Article 5(1)(h) enforcement is built into the service layer to prohibit real-time remote biometric identification in publicly accessible spaces unless a judicial or independent administrative authorisation is provided; Article 12 mandates audit logging of every match query.
  • EU Law Enforcement Directive (Directive 2016/680): Provides the lawful basis for biometric data processing by competent authorities; DPIA templates reference LED Article 5 retention limits, Article 8 lawful-basis requirements, and Article 25 logging obligations that govern all biometric processing activities.
  • GDPR (Regulation (EU) 2016/679): Biometric data is treated as a special category requiring heightened controls; dedicated DPIA templates, configurable retention policies, and role-based access minimisation are implemented to satisfy the proportionality and necessity obligations that apply to biometric processing.
  • FIDO2 / W3C WebAuthn: The platform implements FIDO2/WebAuthn for biometric-backed passwordless authentication of operators, supporting hardware security keys and platform authenticators (fingerprint, face) as a second factor for access control to sensitive biometric systems.
  • ISO/IEC 27037:2012 (Digital Evidence): Evidence collection, acquisition, preservation, and presentation controls are validated against this standard, ensuring that biometric match results and associated artefacts maintain legal admissibility and a documented chain of custody.
  • FBI CJIS Security Policy: The compliance framework is enforced for connections to the FBI NGI fingerprint database and other criminal-justice information systems, governing encryption, access control, and audit requirements for all biometric database queries.
  • GraphQL: All biometric queries, watchlist management, and match retrieval operations are exposed through a typed GraphQL API, enabling structured, permission-checked access to face-recognition, gait, iris, and voice biometric results from integrated case management and investigation platforms.

Last Reviewed: 2026-02-05 Last Updated: 2026-04-14

Key Features#

Fingerprint Analysis#

Automated fingerprint identification with minutiae extraction, pattern classification, and latent print enhancement. Integration with FBI NGI and INTERPOL databases extends search capabilities to millions of records. Support for partial prints, degraded samples, and decades-old evidence from cold cases.

Facial Recognition#

Real-time face detection and matching against watchlists and databases. Support for surveillance camera feeds, photographs, and video evidence. Handles varying lighting conditions, angles, and partial occlusion with confidence-scored results.

Voice Biometrics#

Speaker identification and verification through acoustic feature analysis. Compare unknown speakers against reference samples for investigation support. Voice authentication for access control and identity verification scenarios.

Iris Recognition#

High-accuracy iris pattern matching for secure identity verification. Support for enrollment, comparison, and database search operations across compatible capture devices.

Gait Analysis#

Identify individuals by their unique walking patterns from surveillance video. Useful when faces are obscured or subjects are at distance, providing an additional identification vector that is difficult to deliberately alter or disguise.

Multimodal Fusion#

Combine evidence from multiple biometric sources to increase accuracy when single-point verification is insufficient. Layer facial recognition with gait analysis, or combine voice patterns with behavioural indicators for stronger identification assessments. Fusion is particularly valuable in cases where no single modality provides definitive identification.

Privacy and Compliance#

Audit trails track every search and match. Retention policies automatically expire old records. Configurable confidence thresholds ensure operations stay within legal and ethical boundaries. Role-based access controls and data minimisation features support privacy regulations including GDPR and national biometrics legislation.

Use Cases#

  • Criminal Investigation: Match latent fingerprints from crime scenes, identify suspects from surveillance footage, and verify identities during interviews using multimodal biometrics.
  • Real-Time Alerting: Receive notifications when high-priority individuals are detected through surveillance cameras, access control systems, or border crossings.
  • Cold Case Resolution: Apply modern biometric analysis to historical evidence, including degraded fingerprints and archived surveillance footage.
  • Access Control: Biometric authentication for secure facilities, evidence rooms, and sensitive system access.

Integration#

Connects with FBI NGI, INTERPOL, and national biometric databases. Integrates with surveillance camera systems, access control infrastructure, and case management platforms. Real-time alert notifications through configurable channels. Multi-tenant evidence scoping ensures biometric data remains isolated within the appropriate organisational and classification boundaries.

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