SOLID SCAN 1000 Entry-level Woodworking ...

SOLID SCAN 1000 Entry-level Woodworking Scanner

The LuxScan SOLID SCAN 1000 is an entry-level board scanner with OptiCore AI deep-learning software and significantly improved detection accuracy for automated end trimming or ripping.

Upstream scanner for a cross-cut saw, supporting fully automated end trimming or ripping.
Increases wood yield while maintaining or improving board quality.
Can operate with saws from other manufacturers.
Significantly improved detection accuracy delivers better results than manual marking.
Eliminates time-consuming employee inspection and manual marking, noticeably reducing personnel effort in this area.
Processes numerous qualities and product variants in parallel without conversion effort, in a consistently fast and efficient process.

Uses deep learning to recognise wood features with extreme precision, processing image information similarly to the human brain.
Trained with extensive, carefully classified data, with well over 500,000 defects analysed.
Continuous optimisation delivers reliable, repeatable results with minimal adjustment effort.
Provides an optimised model for each wood type and configuration (optimisation goal).
Works alongside the sensors in surface end-trimming or ripping optimisation.

Specification	Value
Model	SOLID SCAN 1000
Number of saws	1
Softwood / hardwood	yes/selected wood types
Dry wood / wet wood	yes/on request
Strength sorting	with SOLID SCAN E MOD (optional)
Core recognition of larger defects such as knots, wane, cracks, blue stain, and much more	yes

Upstream scanner for a cross-cut saw, supporting fully automated end trimming or ripping.
Increases wood yield while maintaining or improving board quality.
Can operate with saws from other manufacturers.
Significantly improved detection accuracy delivers better results than manual marking.
Eliminates time-consuming employee inspection and manual marking, noticeably reducing personnel effort in this area.
Processes numerous qualities and product variants in parallel without conversion effort, in a consistently fast and efficient process.

Uses deep learning to recognise wood features with extreme precision, processing image information similarly to the human brain.
Trained with extensive, carefully classified data, with well over 500,000 defects analysed.
Continuous optimisation delivers reliable, repeatable results with minimal adjustment effort.
Provides an optimised model for each wood type and configuration (optimisation goal).
Works alongside the sensors in surface end-trimming or ripping optimisation.

Specification	Value
Model	SOLID SCAN 1000
Number of saws	1
Softwood / hardwood	yes/selected wood types
Dry wood / wet wood	yes/on request
Strength sorting	with SOLID SCAN E MOD (optional)
Core recognition of larger defects such as knots, wane, cracks, blue stain, and much more	yes