INSPECTION RECORD INTEGRITY
We verify radiographs, PAUT data, inspection reports and project records to identify duplicates, mismatches, missing requirements and inspection gaps.
01 Detect duplicate radiographs and PAUT data
02 Expose unsupported inspection reports
03 Identify missed inspection requirements
Inspection Record Integrity Scan
ACTIVE
PROJECT ARCHIVE ANALYSIS / 047 RECORDS
FINDING 01 • DUPLICATE RT CANDIDATE
FINDING 02 • DUPLICATE PAUT DATA CANDIDATE
FINDING 03 • REPORT 047 — SUPPORTING RECORD NOT FOUND
REPORT → WELD → RADIOGRAPH / PAUT DATA
CONTROLLED CLOUD ANALYSIS
RT FILM / CR
PAUT RAW DATA
REPORT-TO-RECORD RECONCILIATION
DETERMINISTIC AUDIT FINDINGS
CONTROLLED CLOUD ANALYSIS
WHAT WE DETECT
Every inspection gap leaves a trace.
SouthpoleVision.ai examines the relationship between inspection reports, raw acquisition data, asset identities and mandatory inspection requirements.
Duplicate Radiograph Detection
Requirement-to-Report Verification
One report. One asset. One traceable record chain.
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 records.
03
Detect
Apply purpose-built models and deterministic audit rules to identify record 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 radiographs and PAUT data
• Difficult to scale across archives
SouthpoleVision.ai
• Examines complete available archives
• Connects reports to RT radiographs and PAUT data
• Detects exact and near-duplicate records
• Produces source-linked integrity findings
TECHNICAL DEMONSTRATION
See Inspection Integrity Analysis in Action
Ask us how SouthpoleVision.ai identifies reused radiographs or PAUT data and broken report-to-record relationships across an inspection archive.
CONTROLLED CLOUD ANALYSIS WORKFLOW