MANUFACTURING
Defect detection that never stops improving.
Every operator correction feeds retraining, so the line gets more accurate each cycle.
A production line never holds still - equipment ages, new products arrive, fixtures move. LexData keeps your defect detection and quality inspection accurate through every change, not just on the day it ships.
99%+ Accuracy maintained in production
The case study ↓// 01 · What breaks AI in manufacturing
Pilot accuracy doesn't survive production
Models that achieve 99% in controlled testing lose accuracy when factory lighting changes, machines get repositioned, or new product variants are introduced. What worked in the pilot fails on the floor.
False defects cost real money
False positives trigger unnecessary rework, line stoppages, and manual overrides. The AI was supposed to save time - instead it's creating work.
New products break old models
Every new SKU, material, or assembly variant requires the model to adapt. Without continuous retraining, your defect detection is always one product launch behind.
// 02 · Inside LexLoop
LexAnnotate
Defect Annotation
Pixel-level defect annotation for surface scratches, cracks, dents, weld faults, and assembly misalignments. Multi-sensor alignment for multi-camera inspection systems.
LexInsight
Line Performance
Ask which shift or which line is producing the most of one defect class, and get an answer with the frames behind it, graded against the plant's own written standard.
LexAlert
Quality Alerts
Monitor defect detection accuracy across changing production conditions. Detect when lighting shifts, new materials, or equipment aging degrades model performance. Auto-retrain to maintain 99%+ accuracy.
// 03 · Where it runs
Surface Defect Detection
Scratches, dents and cracks found and sized on every part, graded ship, rework or scrap.
Weld Quality Inspection
Each weld masked for porosity, undercut and spatter and graded against the engineer's own written standard.
Assembly Verification
Each part found in its slot and checked for place and orientation before the tray moves on.
Package & Label Inspection
The label, seal and barcode block checked against the pack's own window, from the camera already over the line.
Predictive Maintenance
The weep, the fray or the rust mark masked by its own extent on the frame already sampled, graded against the plant's own standard.
Multi-Sensor Monitoring
The thermal and visual frame of the same station moment, paired by filename and read side by side for a person to confirm.
Date & Lot Code Inspection
Reading and verifying date, lot and part codes on the packing line against the schedule.
Tablet Defect Inspection
Every tablet boxed and each reject classed as capping, lamination, a chip or a crack, so the class names the press setting to check.
Syringe Barrel Defect Detection
Every barrel off the mold boxed for a crack, a short shot, flash or contamination, before the tray closes.
Foreign Material Detection
The bone, the glove fragment and the seal wrinkle boxed on the fillet line's own camera, with the portion count from the same frame.
// 04 · In production
Defect Detection at Scale
99%+
Accuracy maintained in production
Read the case study (PDF) ↓- The Challenge
- Vision models performed well in pilots but lost accuracy as factory conditions shifted.
- Our Execution
- Built pixel-level annotated datasets and multi-sensor alignment for reliable defect detection.
- The Result
- Maintained 99%+ defect detection accuracy across changing production environments. Reduced unplanned downtime.
// 05 · Why LexData for manufacturing
01
Fast training is table stakes. We keep your models accurate for years, not weeks.
02
Runs on your existing edge hardware. No proprietary equipment required.
03
Continuous retraining as products, materials, and equipment change.
04
Every defect graded against the plant's own written standard, not a generic pass or fail.
// 06 · Same loop, different field
Bring us your manufacturing edge cases.
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