Computer Vision (iBeta Level 3) • CV-02
Liveness & Anti-Spoofing
Prove there is a live person in front of the camera.
Scope
What the engagement covers.
Recognition without liveness is trivially defeated by a photograph. Passive presentation attack detection evaluated under ISO/IEC 30107-3 methodology at iBeta Level 3 closes that gap without asking the user to perform gestures.
Included capabilities
- Single-frame passive liveness requiring no user gesture
- Print, screen replay, video loop and cut-out attack detection
- 2D and 3D mask detection including silicone and resin artefacts
- Active challenge modes where risk justifies additional friction
- Attack telemetry feeding fraud analytics and threshold tuning
Outputs and deliverables
- Presentation attack detection test results
- Threshold configuration with abandonment analysis
- Attack telemetry and fraud reporting
- Re-testing schedule and evidence pack
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.
01AssessAttack surface per channel and the realistic attacker capability.
02TestEvaluate against a presentation attack instrument set.
03ConfigureScore thresholds balancing security against user abandonment.
04DeployChannel integration with fallback to manual review.
05MonitorAttack attempt telemetry and periodic re-testing.
Use cases
Where this is typically applied.
High-value transaction authorization
Access control points that are unattended
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-03Digital Identity
A reusable, governed identity credential instead of repeated verification.
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.