Your inspection system may already have the right foundation. The
limitation could be one light, camera, sensor, or processing unit.
AI-innovate upgrades the components holding your system back, without
requiring a complete rebuild.
A capable inspection system can
still struggle because of:
We assess your existing inspection infrastructure, identify the limiting component, and engineer a compatible upgrade.
Upgrade one component or combine several modules around your inspection requirements.
Depending on whether your product is flat or inherently three-dimensional, an automated inspection system can cover:
MAKE THE DEFECT VISIBLE
Reflective, curved, textured, and coated products may require different lighting geometries. A lighting setup that works for one material can hide defects on another. AIxLight provides custom-engineered lighting, designed around the material, defect, camera position, and available installation space.
Explore AIxLight
SENSE WHAT IMAGES MISS
Some inspection problems require more than a conventional image. AIxSpectra adds application-specific sensing capabilities to existing production and inspection systems. Sensor selection is based on the product, target condition, operating environment, and required inspection result.
Explore AIxSpectra
PROCESS WITHOUT STARTING OVER
New cameras and sensors can create new processing demands. AIxCore provides on-premise processing for analysis and machine vision workloads, with complete control over your data. It can be configured around the inspection task and connected to compatible existing equipment.
Explore AIxCoreReview the current lighting, cameras, sensors, processing, controls, and mechanical setup.
Identify the component limiting inspection performance.
Configure the required module around the product, defect, and production conditions.
Connect the upgrade to compatible existing equipment.
Test the configuration using the actual product, line speed, and inspection criteria.
Machine builders and system integrators can add application-specific modules to their existing architecture.
Explore Partnership
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.
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.
Your inspection system may still be running, but its limitations are starting to affect production.
Glare, shadows, insufficient resolution, or the wrong viewing angle can hide critical defects.
Unstable images can send acceptable products for rejection, reinspection, or manual review.
The system performs reliably at one line speed but loses image consistency or processing capacity when production speed changes.
A new material, product shape, defect size, or quality requirement exceeds the system’s original capabilities.
Operators repeatedly adjust settings, reposition products, or verify results because the system cannot adapt reliably.
A failing or outdated component turns every interruption into an urgent support problem.
Do not begin with a new visual inspection system. Begin with the inspection problem.
AI-innovate can evaluate your existing infrastructure and determine which lighting, imaging, sensing, or processing components should be upgraded.
