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Manufacturing

Machine Vision QC

Manual inspection at line speed was statistically incapable of catching the defect types European buyers were rejecting shipments for.

Timeline
90 day phased deployment: hardware installation and initial model training in weeks 1, 6, supervised parallel running (manual + machine vision) in weeks 7, 10, full production handover with threshold tuning in weeks 11, 12.
Scope
Full deployment scoping, camera and sensor selection calibrated to line geometry and defect taxonomy, CNN training on client owned defect image archive, integration with existing production line controls, documentation output configuration to EN standard requirements, operator training and threshold calibration support.
Model
On site commissioning team with production engineering involvement at every stage. Threshold sensitivity and defect classification reviewed jointly with quality managers before go live. Post deployment model retraining protocol established using flagged borderline cases, the system improves with production volume.

The outcome

Customer claims fell from 4.2% to 0.7% of shipped volume; investment recovered in 14 months from claims reduction alone.

LINE INPUTSLine-scan camerasBeta-gauge sensorsDefect image archiveLine speedEN standard configVISION PROCESSINGCNN defect detectionModel trained on proprietarydefect dataGramage deviation modelCross-web weight uniformityscoringThreshold and roll flaggingReal-time density-based rollcontrolsOUTPUTQualityrecord systemPer-roll defect mapWeight profile reportEN documentationClaims reduction

Findings

What we built it around.

01

Dual high speed line scan cameras with full web coverage (4.4m width)

02

GPU based defect detection processor with CNN trained on proprietary defect image library

03

Beta gauge cross web sensor array for real time gramage deviation detection

04

Configurable defect density threshold logic with automatic roll flagging

05

Per roll automated quality documentation output (defect map, weight profile, dimensional measurement)

06

EN aligned quality record generation for EU buyer compliance

Results

What changed.

01

Defect detection rate improved from ~45% (manual inspection) to 91% (machine vision) within 90 days of deployment

02

Customer claims fell from 4

2% to 0.7% of shipped volume, an 83% reduction, with claims reduction alone recovering the full system investment in 14 months

03

Production line speed subsequently increased by 15%, previously constrained by manual inspection throughput

04

Automated per roll quality documentation became a commercial differentiator with EU buyers requiring EN standard quality records, enabling access to specification grade tender positions previously unavailable

Takeaway

Customer claims fell from 4.2% to 0.7% of shipped volume; investment recovered in 14 months from claims reduction alone.

Manufacturing

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