Engineering Capabilities

• 3D log scanning — measurement of length, diameter, taper, curvature, and ovality;

• Defect detection — cracks, rot, wormholes, knots, mechanical damage;

• Automatic grading — assessment according to GOST or enterprise standards;

• Cutting optimization — calculation of the most efficient cutting scheme, considering geometry and defects;

• Integration with reception lines — automated routing of raw material into proper flows;

• Resilience to harsh conditions — dust, vibration, temperature and humidity fluctuations.

Implementation Example

Automated log inspection at a sorting line using the Synetra LineScan high-precision scanning system

What the system does

• Scans each log in motion with up to 0.5 mm/pixel resolution;

• Determines diameter, length, ovality, and curvature;

• Detects rot, cracks, large knots, and bark damage;

• Classifies log grade by GOST or enterprise standards;

• Transfers data to the control system for automated sorting.

Result

• Sorting accuracy — up to 98%;

• Defective cutting reduced by 35%;

• Human factors in grading are eliminated;

• Line productivity increased by 22%.

Engineering Capabilities

• Surface defect detection — cracks, chips, knots, resin pockets, stains, rot;

• Geometric inspection — thickness, width, length, straightness, and edge parallelism;

• Grade classification — automated grading according to GOST/EN;

• End and edge inspection — detection of chipping, splintering, incomplete trimming;

• Synchronization with sorting machines — automated routing of products;

• Digital product passport — data transfer to MES/ERP.

Implementation Example

Defect detection on lumber using Synetra LineScan

What the system does

• Detects cracks, knots, resin pockets, insect and fungal traces;

• Classifies defects by severity;

• Identifies areas requiring trimming or sanding;

• Sends information to cutting and sorting equipment;

• Generates a digital report for quality systems.

Result

• Defective product output reduced by 80%;

• Manual inspection was reduced by 90%;

• Consistent grading compliance with GOST standards;

• Labor savings — up to 2 operators per shift.

Engineering Capabilities

• High-resolution scanning — up to 0.2 mm/pixel;

• Defect detection — cracks, knots, chips, stains, delamination, rot;

• Defect classification — by type and impact on grade;

• Data transfer to sorting equipment;

• Marking and traceability — digital passport and grade assignment;

• In-line operation — no production stop required.

Implementation Example

Automated veneer repair using a patching machine and robotic manipulator controlled by Synetra LineScan

What the system does

• Creates a digital defect map with coordinates, size, and type;

• Sends data to the control system;

• Automates veneer repair with a robot;

• Integrates with MES/ERP for traceability.

Result

• Up to 70% of defective sheets were restored to acceptable grade;

• Waste reduced by 25–30%;

• Repair cycle per defect — 4–5 seconds;

• Repair accuracy — ±0.2 mm;

• Labor savings — up to 3 operators per shift;

• Payback — 11–13 months.

Engineering Capabilities

• Surface defectoscopy — dents, blisters, scratches, chips;

• Structural inspection — voids, delamination, inconsistencies;

• Geometric measurement — thickness, parallelism, squareness;

• Edge inspection — coating damage or chipping;

• Integration with cutting and packaging lines.

Implementation Example

Automated panel sorting with Synetra LineScan

What the system does

• Scans surface and edges with 0.3 mm/pixel resolution;

• Detects chips, dents, delamination, discoloration, and pressing defects;

• Measures geometry and thickness with ±0.2 mm accuracy;

• Classifies by grade and routes accordingly;

• Transfers data to MES/ERP.

Result

• Scrap reduced by 20%;

• Premium-grade output increased by 12%;

• Throughput — up to 10 panels/min in 24/7 operation (depending on line speed);

• Full traceability and elimination of manual sorting.

Engineering Capabilities

• PPE monitoring — verifying helmets, goggles, gloves;

• Hazard detection — identifying human presence in machine zones;

• Real-time tracking — of semi-finished goods and products;

• Logistics optimization — movement analysis of carts, stackers, cranes;

• MES integration.

Advantages of Implementing Machine Vision in Woodworking

• Improved quality and reduced scrap — 100% inspection of each product;

• Lower costs and optimized raw material use — defects detected at early stages;

• Increased productivity — inspection without line stoppage;

• Full traceability — digital passport for each unit;

• Objective, repeatable results — elimination of human factors.

Why Choose Us

• Proprietary image processing algorithms — optimized for woodworking;

• AI-powered neural models — highly accurate defect classification;

• Integration with sorting lines and MES/ERP — unified production ecosystem;

• Full-service support — from survey to 24/7 maintenance.