Automate AI
Visual
Inspection

Deploy an end-to-end AI inspection system configured around
your products, defects, line conditions, and existing
infrastructure covering every unit on the line, not just a
sample.

When manual checks and
sampling aren't enough

Manual inspection depends on people and people get tired, get
distracted, and don’t always agree on what counts as a defect. Sample-
based inspection catches a fraction of production, leaving the rest
unchecked. And rule-based machine vision, while faster than a person,
tends to break down exactly where it matters most: subtle surface
defects, reflective materials, or the kind of geometric and dimensional
variation a flat image can’t judge at all.

The cost shows up downstream in scrap, rework, and customer complaints and it gets more expensive the later a defect is caught.

Manual Inspection

People fatigue, distraction, and shift-to-shift inconsistency leave quality to chance.

Sample-Based Checks

Only a fraction of production is ever seen — the rest ships uninspected.

Rule-Based Vision

Rigid rules break the moment material, lighting, or defect type changes.

Inline inspection configured to your application

AI-innovate builds AI-powered visual inspection systems
configured around your actual product, defects, and production
environment; not a generic template.

Every deployment is built to:

  • Inspect every unit on the line — not a sample, not a snapshot
  • Recognize what ‘acceptable’ looks like for your product, then flag deviations
  • Cover surface defects or 3D characteristics — depending on your product type
  • Run in real time, at full line speed — no batch delays
  • Deploy as one integrated system — everything you need, in one place

Surface defects
or 3D characteristics,
depending on your product

Depending on whether your product is flat or inherently three-dimensional, an AI visual inspection system can help you detect defects.

2D DIMENSIONAL INSPECTION

Surface-level defects on flat products

Scratches, dents, cracks, stains, contamination, coating irregularities, texture and colour variation, print and pattern issues. This is surface inspection territory.

Explore AIxEye
3D DIMENSIONAL INSPECTION

Geometric and dimensional defects on 3D parts

Shape, profile, deformation, and dimensional variation on parts that are inherently three-dimensional, like automotive components, electronics, or aerospace parts.

Explore AIxAm

Built around the
production environment
you actually have

There's no single template that works across every line.
Before anything is deployed, the configuration accounts for:

Product type and defect profile

Define what's being inspected and what counts as a defect.

Line speed and throughput requirements

Match the inspection system to your production rate.

Lighting conditions and camera placement

Optimize sensor and illumination for consistent imaging.

Available installation space

Configure the system footprint to fit your production line.

Existing equipment and automation

Connect with your current PLC, MES, and automation infrastructure.

Quality standards and traceability requirements

Align inspection records and reporting with your quality system.

What changes on
the production floor

Up to 30% lower defect losses
Up to 25% higher efficiency
Up to 40% downtime reduction

AI Inspection Results From
Real Production Lines

AI-Powered Textile Defect Detection Case Study

AI-Powered Textile Defect Detection

Helping textile manufacturers automate quality inspection, reduce manual QC effort, and gain real-time insight into defect formation and production trends.

Industry Textile Manufacturing
Application Defect Detection
Technology Machine Vision | Edge AI | Computer Vision
Deployment Continuous Production Line
Micro-Scratch Detection on High-Volume Aluminium Sheet Line Case Study

AI-Powered Quality Assurance for Aluminum Strip Production

Helping aluminum manufacturers automate surface inspection, classify defects, and connect quality issues to process conditions in real time.

Industry Aluminum / Metal Manufacturing
Application Surface Quality Inspection and Process Optimization
Technology Machine Vision | Edge AI | Computer Vision | Data Analytics
Deployment: Production Line
Micro-Scratch Detection on High-Volume Aluminium Sheet Line Case Study

AI-Powered Polymer Surface Inspection

Helping polymer manufacturers automate visual inspection, detect surface anomalies, reduce manual QC effort, and improve production planning through AI-powered quality intelligence.

Industry Polymer / Plastics Manufacturing
Application Surface Defect Detection and Quality Assurance
Technology Machine Vision | Edge AI | Computer Vision | Data Analytics
Deployment Continuous Production Line
AI-Powered Inspection for Continuous Metal Coating Case Study

AI-Powered Inspection for Continuous Metal Coating

Helping metal coating manufacturers detect surface defects, reduce manual QC effort, and connect coating quality issues to suppliers, raw materials, and production conditions.

Industry Metal Coating / Manufacturing
Application Coating Defect Detection
Technology Machine Vision | Edge AI | Computer Vision | Data Analytics
Deployment Continuous Production Line
AI-Powered Quality Assurance for 3D Printing Case Study

AI-Powered Quality Assurance for 3D Printing

Helping high-volume 3D printing operations detect major defects, identify early-stage failures, reduce waste, and improve production efficiency.

Industry Additive Manufacturing / 3D Printing
Application Defect Detection and Process Monitoring
Technology AI | Machine Vision | Sensor Analytics | Time-Series Analysis
Deployment Multi-Printer Production Environment
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AI Inspection Built
for Your Industry

Each industry has unique inspection demands. AI-innovate
configures every system accordingly.

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