Visual defect detection
Identify suspicious visual conditions in real inspection images.
AI-powered visual inspection for SME manufacturers
AI-EYE helps manufacturing see more
AI-EYE is a practical visual quality inspection system that helps teams detect surface defects, product irregularities, and inspection issues with AI-assisted consistency.
What AI-EYE does
AI-assisted inspection without a heavy automation project
AI-EYE is designed for focused, practical inspection tasks where consistency, evidence, and deployment simplicity matter.
Operator decision support
Support quality teams with repeatable AI-assisted checks.
Quality evidence
Capture image records that help teams review recurring issues.
Pilot-first implementation
Validate technical fit and value before wider deployment.
How AI-EYE works
Inspection process shown in the product interface
AI-EYE is built around a practical workflow: define a reference, capture an inspection image, compare quality conditions, and record the result.
Define the acceptable product or surface for the inspection task.
Use the camera and lighting setup to capture a consistent inspection image.
AI-EYE highlights suspected visual differences for review or decision support.
Inspection evidence and pass/review outcomes can support quality traceability.
Inspection scope
Built around your actual product and defect types
Every useful AI inspection starts with the actual part, surface, lighting, defect examples, and workflow constraints. AKURIS scopes AI-EYE around the inspection problem first.
Examples may include
Scratches
Dents
Missing features
Surface contamination
Print or label issues
Geometry irregularities
Assembly irregularities
Color or texture variation
System components
Hardware, software, and engineering support
AI-EYE combines the physical inspection setup with AI vision software and practical implementation support.
Inspection hardware
Camera, lighting, mounting, and capture setup depending on the product and inspection task.
AI vision software
Defect models, inspection logic, result interface, and data capture for visual quality control.
Implementation support
Pilot scoping, sample collection, testing, iteration, and deployment guidance.
SME fit
Made for small and medium manufacturing realities
AI-EYE is positioned as a practical path into AI quality control, not an oversized enterprise automation program.
- Focused pilot before full rollout
- Practical integration with existing workflows
- Affordable path to AI quality control
- Clear engineering communication
- No unnecessary enterprise complexity
Pilot process
A clear pilot process
The pilot is built to answer the practical question: can AI-EYE reliably support this inspection task?
Define inspection goal
Clarify what the team needs to detect and why it matters.
Review samples and defect types
Look at real examples, acceptable parts, and borderline cases.
Configure capture setup
Align camera, lighting, positioning, and workflow constraints.
Test AI-EYE on real cases
Evaluate detection behavior against actual inspection examples.
Review next deployment step
Discuss performance, value, and possible production deployment.
Visual inspection challenge?
Have a product AI-EYE should inspect?
Share your product, defect examples, and inspection process so AKURIS can assess a focused pilot.