Technical support for solid wood machine selection

JXH combines AI vision scanning, defect recognition, automatic nesting and CNC woodworking machinery. Start with your material and production requirements to discuss a suitable workflow.

Prepare your application details

Send representative board photos, wood species, board dimensions and thickness, part drawings, required quantities, target daily output and a description of your current process.

Evaluate boards and nesting requirements

Representative sample boards help evaluate board boundaries, surface defects, usable cutting areas and part layouts. Material condition and defect appearance affect recognition and processing settings.

Compare machine workflows

Review single-station and dual-station AI cutting, thin-board CNC routing, and AI laser marking for factories retaining their downstream cutting process. Cutter selection should be discussed using the actual wood species, board thickness and production requirements.

Review results in context

Published utilization and output figures describe specific case examples. Results vary with board quality, defect distribution, part mix, thickness, tooling and production settings.

Read the buyer FAQ or contact JXH to discuss your application.