AI-Based Surface Inspection for Painted and Coated Panels
11/4/2026
In-line inspection for MDF, HDF, and lacquered panels—up to 98% accuracy at speeds of up to 50 m/min.
The AI solid wood inspection system sorts out knots, resin pockets, and structural defects inline, directly on the cutting and cross-cutting line. Trained on over 30,000 reference images, it classifies defects with up to 98% accuracy at speeds of up to 50 m/min.
up to 98%
Classification Accuracy
30,000+
Reference Images in Training
up to 50 m/min
Depending on the application, 3D inspection may take longer
Why Manual Wood Sorting Has Its Limits
The grading of solid wood depends heavily on subjective judgment and the inspectors' performance on a given day.
Limits that are too strict
To be on the safe side, sorting thresholds are set conservatively. Wood that meets standards is either rejected or downgraded.
Feature or flaw?
Simple optical systems and manual inspectors cannot reliably distinguish between critical defects and acceptable wood characteristics.
Documentation Requirement:
Standards such as EN 14080 for glued laminated timber and CLT require fully documented quality assurance. This cannot be achieved through random sampling.
The Solution: NativeVision by JLI Vision
NativeVision brings AI-powered solid wood inspection directly to the production line and replaces spot checks with a seamless, documented sorting process. The system processes softwood and hardwood* and detects knots, resin pockets, blue stain, bark inclusions, and geometric surface defects. No complete recalibration is necessary when switching between wood species.
Here's how it works:
1. AI classifies
Trained on over 30,000 images of approved and rejected parts, the AI identifies potential defects and classifies them according to national or industry-standard sorting rules.
2. Image processing measures:
Traditional image processing calculates the size, intensity, and contour of each candidate.
3. 3D analysis confirms:
Cracks, tree edges, and misalignments are recorded with precise measurements. The system also assesses whether branches are at risk of falling.
Your Benefits
Higher Yield
The AI objectively distinguishes genuine structural defects from non-critical natural characteristics. Significantly less wood is unnecessarily rejected.
Constant Sorting
Sorting thresholds remain consistent across all layers, regardless of lighting, wood moisture content, or the operator's experience.
Audit-Ready Documentation
Error categories, measured values, and timestamps are automatically logged for each board and shift, serving as the basis for the documentation of load-bearing components (BSH/CLT).
Avoid Costs Early On
Defective parts are removed before gluing, pressing, or profiling. This reduces rework costs and liability risks.
FAQ
Request Technical Consultation
Would you like to equip your sorting line with AI? Briefly describe your application, and an application engineer will contact you.