Computer Vision (iBeta Level 3) • CV-06
Vehicle Analytics
Read, classify and track vehicles automatically.
Scope
What the engagement covers.
Gate operations, enforcement and logistics all depend on knowing which vehicle is where. Plate recognition and vehicle attribution automate what is otherwise a manual checkpoint.
Included capabilities
- Licence plate recognition across regional plate formats
- Vehicle make, model, colour and type classification
- Gate automation with authorized vehicle list matching
- Journey and dwell analysis across camera points
- Watchlist and unauthorized vehicle alerting
Outputs and deliverables
- Camera placement and configuration design
- Read rate accuracy report across conditions
- Gate automation integration
- Watchlist alerting and exception procedures
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.
01SurveyCamera placement, angles, speed and lighting conditions per point.
02ConfigurePlate formats, classification classes and matching lists.
03CalibrateAccuracy testing across day, night and weather conditions.
04AutomateGate and barrier integration with exception handling.
05MonitorRead rate tracking and camera maintenance triggers.
Use cases
Where this is typically applied.
Mine and industrial sites controlling vehicle access
Municipal enforcement and parking management
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-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.