Workflow — Visual Quality Inspection

Defect classification at line speed.

Photos and live video of parts coming off the line — defect classification (scratches, dents, color, weld, surface contamination), severity rating, pass/fail per AQL sampling. SPC charts that update before the shift ends and reject queues that route directly into Plex, SAP ME, Aegis FactoryLogix, or Apriso. Replaces line-side QC inspectors and third-party inspection vendors at a fraction of the per-part cost.

$22–$45
Per hour, line-side QC inspector (loaded)
AQL
Acceptable Quality Level sampling per ANSI/ASQ Z1.4
60–85%
Volume off the inspector line after AI cutover
What This Replaces

The QC Inspector Reading Every Part Off the Line

The work the QC inspector does on every shift — and the cost of leaving it there.

The labor

Visual quality inspection today moves through line-side QC inspectors at $22–$45 per hour fully loaded, plus first-article and audit work routinely outsourced to third-party inspection firms — SGS, Bureau Veritas, Intertek, Eurofins. Per-part inspection time runs seconds-to-minutes depending on the part, but cumulative QC labor on a high-mix line easily totals into the seven figures per year for a mid-size OEM or contract manufacturer.

The cycle time

Standard line-side QC runs in real-time but creates bottlenecks at sample-rate constraints — full inspection slows the line, statistical sampling lets escapes through. SPC chart updates lag the shift by hours when manual data entry is required. Every escape that reaches the customer is a potential 8D root-cause investigation, customer scorecard hit, and supplier-quality-engineer engagement that easily costs 100x the inspection labor saved.

The Workflow

Input · Analysis · Output

What goes into visual QC, what we do to it, and what shows up in the MES.

Input

Photos and video from the line

  • Live video from line-side cameras
  • Photo captures from inline scanning stations
  • Mobile photos from inspector handhelds
  • Manual capture during incoming-inspection cells
  • Reference photos for defect-class training
  • Per-part specifications and tolerance stack
  • Customer-specific quality requirements
Analysis

Classify, severity, sample

  • Defect classification (scratches, dents, color, weld, contamination)
  • Severity rating (cosmetic, functional, safety-critical)
  • AQL sampling-plan compliance per ANSI/ASQ Z1.4
  • Pass / fail / rework determination
  • SPC trigger detection (out-of-control, trend, run)
  • First-article and PPAP-class detection
  • Confidence score per finding; exceptions to QC engineer queue
Output

QC log into the MES

  • Plex (REST APIs)
  • SAP ME (SAP Cloud Platform Integration)
  • Aegis FactoryLogix (REST APIs)
  • Apriso (published integration patterns)
  • Reject queue with severity tier
  • SPC charts that update before the shift ends
  • Per-part inspection audit trail
Side by Side

Visual Quality Inspection Today vs. With Last Rev

The numbers that matter: cycle time, per-part cost, accuracy, and SPC posture.

Dimension Line-Side QC + Third-Party InspectionLast Rev Visual QC
Cycle time, part scanned to QC log update Real-time inspection, hours-late SPC entryReal-time + SPC update before shift ends
Per-part unit cost $22–$45/hr inspector translated per-partPer-part, benchmarked at 25–45% of inspector unit cost
Sampling vs full inspection coverage Statistical sampling, escape rate100% inspection at line speed at AI cost
Defect-classification consistency Variable — fatigue effects, calibration drift across shiftsSame taxonomy applied identically every shift, every inspector
Audit log per finding Inspector notes, no image-source lineageSource image + classification basis + model version + confidence per part
MES integration Manual data entry, batched at shift endDirect via documented Plex / SAP ME / Aegis / Apriso APIs
Renegotiation leverage at next third-party inspection renewal None — you're locked in60–85% of routine inspection volume off the contract
How It Works

From Line-Side Capture to MES-Ready QC Log

Five steps. Every one logged. Every one reversible if your confidence threshold isn't met.

Submission Lands
Photo or video captures from line-side cameras, inline scanning stations, or mobile inspector handhelds — paired with per-part specifications, tolerance stack, customer-specific quality requirements, and reference photos for defect-class training.
Extraction & Classification
Defect classification across the standard categories (scratches, dents, color variation, weld defects, surface contamination). Severity rating per the cosmetic / functional / safety-critical taxonomy. AQL sampling-plan compliance per ANSI / ASQ Z1.4. Pass / fail / rework determination per part.
Validation Against Quality Plan
Findings validated against the part's quality plan and customer-specific requirements. Anything below your confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.
Push to System of Record
QC log entry into Plex, SAP ME, Aegis FactoryLogix, or Apriso via the documented integration. Reject queue with severity tier. SPC charts updated before the shift ends. NCR initiation queue for safety-critical defects.
Audit Log Persisted
Every defect classification, severity rating, and SPC trigger logged with the source image, model version, prompt, and confidence score. Customer-audit-ready, ISO 9001 / AS9100 / IATF 16949 audit-ready, and yours.
Compliance & Defensibility

Built to Meet the Quality Bar QC Operations Already Run On

AQL sampling and SPC posture
AQL sampling per ANSI/ASQ Z1.4 (and equivalent ISO 2859) tracked. SPC out-of-control rules (Western Electric / Nelson rules) calculated in real-time. The audit log records the sampling plan and SPC-rule version active at each finding.
ISO 9001 / AS9100 / IATF 16949 conformance
Quality-management-system requirements for inspection, control of nonconforming product, and identification & traceability supported through structured per-part audit logs. Registrar audits resolve on a richer file than the inspector's daily log produces today.
Customer audit defensibility
When a customer raises a quality complaint or requests a 8D, the audit log produces what was inspected, what was classified, and what the basis was for any pass/fail call. Cleaner chain of custody than the inspector spreadsheet six months post-shipment.
IP, ITAR, and shop-floor data residency
Shop-floor inspection data contains process IP and customer-confidential design information. Deployable on-prem, in your VPC, or our SOC 2 environment, with ITAR / EAR-compliant deployment options for export-controlled programs. Encryption in transit and at rest.
Common Questions

What OEMs & Contract Manufacturers Ask About Visual QC

How is this different from Cognex VisionPro, Keyence, MVTec HALCON, or other machine-vision platforms?
Cognex, Keyence, MVTec, and adjacent machine-vision platforms are vision sensors and software stacks — they handle image acquisition and rule-based vision. The competitor on this page is the line-side QC inspector and third-party inspection labor line on your operating budget — typically $22–$45 per hour for line inspectors plus $45–$95 per hour for QA engineers, plus first-article work routinely outsourced to SGS, Bureau Veritas, Intertek, Eurofins. We undercut that labor cost, integrate directly into your existing MES, and deliver structured QC log entries with SPC and reject-queue updates. We complement your existing vision stack — not replace it.
We have third-party inspection contracts for first-article and audit work. How does this work alongside that?
Most manufacturers keep the third-party inspection arrangement in place during pilot and early production — we route exceptions, regulator-required first-article inspections, and any case that genuinely requires accredited third-party sign-off to the team you already have. Volume to the third-party inspector drops 60–85% on routine in-process and finished-goods inspection once cutover completes. You renegotiate at the next renewal from a much better position.
What's your accuracy bar versus a line-side QC inspector?
Our pilot success threshold is defect-classification and pass/fail accuracy at parity with or above your incumbent inspectors, measured on the same shadow-data sample of historical parts. Anything below your defined confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.
How do you handle 100% vs sampling inspection?
AI inspection costs are largely fixed regardless of inspection rate, so 100% inspection becomes economically feasible where statistical sampling was the only option before. The audit log records the sampling-plan basis used at each shift — you can run AQL sampling, 100% inspection, or hybrid plans depending on per-part criticality.
How do you handle defect classes that change over time as new failure modes emerge?
New defect classes are added via the same calibration loop your inspectors already use — labeled examples from the shop floor flow into the classifier on a continuous basis. We don't make the classification-taxonomy decision; we apply your QC team's taxonomy consistently across shifts, sites, and inspectors.
Can you actually integrate with Plex, SAP ME, Aegis FactoryLogix, and Apriso?
Yes — through the documented integration surface each platform supports. Plex via REST APIs; SAP ME via SAP Cloud Platform Integration; Aegis FactoryLogix via REST APIs; Apriso via published integration patterns. Your IT and quality teams review and approve service accounts. We do not require platform-side custom development.
How long until a pilot is running on a live line?
Visual QC pilots typically run 6–8 weeks: 1–2 weeks of integration, line-side camera or capture-station calibration, and defect-class training with the QC team; 4 weeks of shadow-mode running on real parts with no MES-side QC log writes; 1–2 weeks of supervised cutover on a constrained scope (one work cell, one product line). Production rollout is staged after the pilot meets your accuracy and quality-management sign-off.
What does pricing look like compared to our current per-shift inspector cost?
We benchmark against your current per-shift QC labor cost — typically derived from $22–$45 per hour fully loaded inspector rates translated into per-part economics. Our target is 25–45% of that per-part cost at higher accuracy and faster cycle time. Pricing structures around volume tiers and outcome SLAs, not hourly billable rates.

Two Ways to Start

Take the AI assessment for a structured read on visual QC feasibility. Or talk to us if you already know inspector labor or third-party inspection is your largest QC line item.

Other Workflows

More Manufacturing Workflows We Replace

The same approach, applied to the other document-heavy labor lines on your quality and operations budget.