Computer Vision (iBeta Level 3) • CV-08
Video Forensics
Find the thirty seconds that matter in ten thousand hours.
Scope
What the engagement covers.
Investigations stall on manual footage review. Forensic search makes archives queryable by appearance, attribute, vehicle and time, with evidential integrity preserved.
Included capabilities
- Appearance and attribute-based search across archived footage
- Cross-camera tracking to reconstruct movement over time
- Time and location correlated timeline reconstruction
- Evidence export with hash integrity and chain of custody
- Case management with access logging and disclosure control
Outputs and deliverables
- Indexed and integrity-hashed archive
- Search and reconstruction toolset configuration
- Evidence export with chain of custody
- Case access log and disclosure record
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.
01IngestArchive indexing with integrity hashing at point of ingest.
02SearchAttribute, appearance, vehicle and time-based query.
03ReconstructCross-camera timeline assembly with confidence marking.
04PackageEvidence export with chain of custody documentation.
05ControlAccess logging, retention and disclosure governance.
Use cases
Where this is typically applied.
Post-incident reconstruction for regulatory inquiry
Loss investigations requiring evidential-quality output
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-07Smart City
Operational intelligence for public space at city scale.
CV-09Border & Public Safety
High-assurance identity at controlled crossing points.
CV-10SDK / API Integration
Put biometric capability inside the applications people already use.