Computer Vision (iBeta Level 3) • CV-07
Smart City
Operational intelligence for public space at city scale.
Scope
What the engagement covers.
City camera estates are large, heterogeneous and mostly unwatched. This capability converts them into measured traffic, safety and incident intelligence under a governed access model.
Included capabilities
- Traffic flow, congestion and incident detection
- Crowd density, movement and event safety monitoring
- Public safety incident detection and response coordination
- Infrastructure condition observation from existing feeds
- Multi-agency access governance with logged, purpose-bound queries
Outputs and deliverables
- Camera estate and network capacity assessment
- Prioritized use case deployment plan
- Multi-agency access governance model
- Operational reporting and oversight 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.
01AssessExisting camera estate, network, ownership and legal framework.
02PrioritizeUse cases with clear public value and lawful basis.
03DeployAnalytics on selected feeds with edge processing where needed.
04CoordinateMulti-agency workflows, escalation and information sharing rules.
05GovernPurpose limitation, access logging and independent oversight.
Use cases
Where this is typically applied.
Event safety management in dense public spaces
Traffic authorities needing continuous flow measurement
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-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-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.