Computer Vision (iBeta Level 3) • CV-05
Face, Body & Object Recognition
Understand what is in the scene beyond identity.
Scope
What the engagement covers.
Many operational questions do not need identity at all: how many people, wearing what, carrying what, going where. Attribute and object recognition answers them without enrolling anyone.
Included capabilities
- Person detection, counting and movement tracking
- PPE, uniform and headwear compliance detection
- Object detection for tools, packages, weapons and prohibited items
- Anonymous attribute estimation for operational analytics
- Behaviour patterns such as loitering, falling and crowd density
Outputs and deliverables
- Detection class configuration per camera zone
- Site-tuned model performance report
- Alerting rules and verification workflow
- False positive tracking and refinement log
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.
01ScopeOperational questions and whether identity is needed at all.
02ConfigureDetection classes, zones and confidence thresholds per camera.
03TrainSite-specific tuning for lighting, angle and clothing norms.
04AlertRules, escalation and verification workflow.
05RefineFalse positive reduction against operational feedback.
Use cases
Where this is typically applied.
Venues managing crowd density and safety
Facilities detecting prohibited items at entry points
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-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.