Manual Inspection
People fatigue, distraction, and shift-to-shift inconsistency leave quality to chance.
Reduce scrap, rework, and missed defects with an inline AI inspection system at production speed, without waiting for a labelled defect dataset.
Up to 30%
lower defect-related losses
Up to 25%
higher line efficiency
100%
inline inspection coverage
Manual checks miss defects. Sampling leaves most products uninspected. Rule-based vision breaks when defect appearance, lighting, material, or surface conditions change. AIxEye gives manufacturers a faster path to inline surface inspection.
People fatigue, distraction, and shift-to-shift inconsistency leave quality to chance.
Only a fraction of production is ever seen — the rest ships uninspected.
Rigid rules break the moment material, lighting, or defect type changes.
If the defect is visible on the product surface and affects quality acceptance, AIxEye is the right place to start.
Most AI inspection projects slow down before they begin because teams need to collect and label enough defect examples. AIxEye removes that delay. Its next-generation AI detection model learns from just a few images of acceptable products and flags meaningful deviations, without needing to be trained on every possible defect type in advance.
"This matters when defects are rare, inconsistent, unpredictable, or difficult to reproduce."
AIxEye will be delivered as an end-to-end inline inspection system configured to your production line needs.
The result is an end-to-end, AI-powered defect detection system configured around the product, defect profile, line speed, lighting, installation space, and production environment.
AIxEye is built for manufacturing environments, not controlled lab demos.
It can be integrated into existing production lines or deployed as part of a new line setup.
Industrial cameras and lighting capture the product surface.
Advanced visual AI model identifies visible defects.
Operators can review results through the inspection interface.
Inspection data is stored for traceability and reporting.
The system can send outputs to PLCs, robots, sorting systems, or rejection mechanisms.
Inspection data can feed AIxInsight and AIxCause for trend monitoring and root-cause investigation.
Detect scratches, stains, dents, cracks, contamination, and visible surface irregularities inline at production speed.
Inspect textiles, paper, board, film, sheet metal, and flexible packaging as they move through production.
Identify print issues, pattern irregularities, colour variation, and visible appearance defects.
Send inspection outputs to PLCs, robots, or sorting systems to separate defective products from accepted output.
Store inspection results for review, reporting, and quality investigation with full image evidence.
Each industry has unique inspection demands. AI-innovate
configures every system accordingly.
Continuous inspection for scratches, dents, cracks, corrosion, weld defects, and surface imperfections.
Continuous inspection for fabric defects, loose threads, pattern irregularities, and surface variations.
Continuous inspection for tears, wrinkles, holes, stains, coating defects, and edge cracks.
Continuous inspection for label errors, seal defects, damaged packages, barcode verification, and missing items.
Case Study
Helping textile manufacturers automate quality inspection, reduce manual QC effort, and gain real-time insight into defect formation and production trends.
Case Study
Helping aluminum manufacturers automate surface inspection, classify defects, and connect quality issues to process conditions in real time.
Case Study
Helping polymer manufacturers automate visual inspection, detect surface anomalies, reduce manual QC effort, and improve production planning through AI-powered quality intelligence.
Case Study
Helping metal coating manufacturers detect surface defects, reduce manual QC effort, and connect coating quality issues to suppliers, raw materials, and production conditions.
Case Study
Helping high-volume 3D printing operations detect major defects, identify early-stage failures, reduce waste, and improve production efficiency.
Test whether AI inspection is suitable for your application before committing to a pilot or full deployment.
AIxLab provides early evidence, clearer technical direction, and a stronger basis for selecting the right inspection approach.