INSPECTION EVIDENCE INTEGRITY
We verify whether inspection reports are supported by authentic, traceable RT and PAUT evidence using purpose-built models and analysis pipelines.
01 Detect duplicate RT and PAUT evidence
02 Expose unsupported inspection reports
03 Identify missed inspection requirements
Evidence Integrity Scan
ACTIVE
PROJECT ARCHIVE ANALYSIS / 047 RECORDS
FINDING 01 • DUPLICATE RT CANDIDATE
FINDING 02 • DUPLICATE PAUT EVIDENCE CANDIDATE
FINDING 03 • REPORT 047 — NO RECORDED EVIDENCE
REPORT → WELD → EVIDENCE
CONTROLLED CLOUD ANALYSIS
RT FILM / CR
PAUT RAW DATA
REPORT-TO-EVIDENCE RECONCILIATION
DETERMINISTIC AUDIT FINDINGS
CONTROLLED CLOUD ANALYSIS
WHAT WE DETECT
Inspection fraud leaves evidence.
SouthpoleVision.ai examines the relationship between inspection reports, raw acquisition data, asset identities and mandatory inspection requirements.
01 / MATCHING
Duplicate RT and PAUT Evidence
Detect exact and visually similar radiographs, duplicate PAUT data candidates, renamed evidence and records reused across different welds, reports or projects.
VISUAL SIMILARITY • CROSS-RECORD MATCHING
02 / RECONCILIATION
Unsupported Inspection Reports
Identify RT and PAUT reports that cannot be connected to authoritative recorded evidence, along with evidence files that have no corresponding inspection report.
MISSING EVIDENCE • BROKEN TRACEABILITY • ORPHAN RECORDS • IDENTITY CONFLICTS
03 / VALIDATION
Missed Inspection Requirements
Apply deterministic audit rules to identify required inspections that are missing, incomplete, late, incorrectly sequenced or unsupported by the project record.
COVERAGE • CHRONOLOGY • APPLICABILITY • REQUIREMENT VALIDATION
One report. One asset. One evidence trail.
ASSET / WELD
→
INSPECTION REQUIREMENT
→
INSPECTION REPORT
→
EVIDENCE
→
ACQUISITION IDENTITY
When a connection is missing, duplicated or inconsistent, SouthpoleVision.ai preserves the source records and reports the exact integrity anomaly.
Independent verification with controlled data processing.
01
Connect
Load project reports, registers, RT images and PAUT acquisition files into Southpole Vision AI-controlled cloud infrastructure.
02
Reconcile
Map inspection requirements and reports to their expected supporting evidence.
03
Detect
Apply purpose-built models and deterministic audit rules to identify evidence relationships requiring authorized review.
04
Verify
Present traceable findings for authorized Level III and quality review.
Inspection data is processed within Southpole Vision AI-controlled cloud infrastructure. GPU analysis and OCR are performed through dedicated processing environments under our control.
We do not inspect the weld. We inspect the integrity of the inspection.
NDT providers generate inspection results. SouthpoleVision.ai independently examines whether those results are supported by unique, traceable and technically consistent evidence.
Traditional review
• Samples selected records
• Relies on manual cross-checking
• Separates reports from raw evidence
• Difficult to scale across archives
SouthpoleVision.ai
• Examines complete available archives
• Connects reports to RT and PAUT evidence
• Detects exact and near-duplicate records
• Produces evidence-linked integrity findings
TECHNICAL DEMONSTRATION
See Inspection Integrity Analysis in Action
Ask us how SouthpoleVision.ai identifies reused evidence and broken report-to-record relationships across an inspection archive.
CONTROLLED CLOUD ANALYSIS WORKFLOW