Computer Vision (iBeta Level 3) • CV-03
Digital Identity
A reusable, governed identity credential instead of repeated verification.
Scope
What the engagement covers.
Verifying the same person repeatedly is expensive and irritating. A governed digital identity lets one verified enrolment be reused across channels under explicit consent and lifecycle control.
Included capabilities
- Enrolment with verified identity binding and consent capture
- Credential lifecycle: issuance, renewal, suspension and revocation
- Assurance level model mapped to transaction risk
- Cross-channel reuse across branch, web, mobile and physical access
- Federation with existing identity providers and directories
Outputs and deliverables
- Identity assurance level model
- Enrolment and consent design
- Credential lifecycle procedures
- Federation integration specifications
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01ModelAssurance levels, credential types and permitted reuse contexts.
02EnrolVerified enrolment with consent and lawful basis recorded.
03IssueCredential binding with device and lifecycle controls.
04FederateIntegration with identity providers and relying applications.
05GovernRevocation, dispute, renewal and audit processes.
Use cases
Where this is typically applied.
Government services consolidating citizen identity
Campuses and industrial sites unifying physical and digital access
Delivery model
The operating pattern for Computer Vision (iBeta Level 3).
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Define
Use case, lawful basis, accuracy targets and acceptance thresholds.
Prove
Bench test on representative data, including attack and edge-case sets.
Integrate
SDK or API embedding, gallery design and decision policy.
Deploy
Edge or on-premise rollout, tuning and human adjudication workflow.
Assure
Accuracy monitoring, bias review, revalidation and retention enforcement.
Integration
- Core banking, onboarding and case management platforms via SDK or API.
- Physical access controllers, turnstiles and video management systems.
- Identity registries and watchlists under a controlled matching policy.
- SIEM and audit platforms for decision evidence and administrative logs.
Engagement approach
Every deployment is scoped with a documented lawful basis, retention schedule and human adjudication path before a single template is enrolled. Accuracy and bias are measured on the client’s own population, not on vendor benchmarks.
Related
Other capabilities in Computer Vision (iBeta Level 3).
CV-01
Facial Recognition
1:1 verification and 1:N identification at gallery scale.
CV-02Liveness & Anti-Spoofing
Prove there is a live person in front of the camera.
CV-04KYC Onboarding
Open the account remotely without opening a fraud channel.
CV-05Face, Body & Object Recognition
Understand what is in the scene beyond identity.
CV-06Vehicle Analytics
Read, classify and track vehicles automatically.
CV-07Smart City
Operational intelligence for public space at city scale.
CV-08Video Forensics
Find the thirty seconds that matter in ten thousand hours.
CV-09Border & Public Safety
High-assurance identity at controlled crossing points.
CV-10SDK / API Integration
Put biometric capability inside the applications people already use.