Computer Vision (iBeta Level 3)
A biometric and video intelligence layer covering facial recognition, liveness and anti-spoofing, digital identity and KYC onboarding, face, body and object recognition, vehicle analytics, smart city and public safety deployments, video forensics and SDK/API integration into existing applications.
Every capability in this line, with its own page.
Each capability can be engaged on its own or combined. Follow any card for scope, workflow, outputs, integration and engagement model.
Facial Recognition
1:1 verification and 1:N identification at gallery scale.
Liveness & Anti-Spoofing
Prove there is a live person in front of the camera.
Digital Identity
A reusable, governed identity credential instead of repeated verification.
KYC Onboarding
Open the account remotely without opening a fraud channel.
Face, Body & Object Recognition
Understand what is in the scene beyond identity.
Vehicle Analytics
Read, classify and track vehicles automatically.
Smart City
Operational intelligence for public space at city scale.
Video Forensics
Find the thirty seconds that matter in ten thousand hours.
Border & Public Safety
High-assurance identity at controlled crossing points.
SDK / API Integration
Put biometric capability inside the applications people already use.
How work in this line is run.
One delivery pattern across the line, so a client engaging several capabilities gets one programme rather than several disconnected projects.
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.