The system is capable of detecting defects and grading lumber at high speed, with an accuracy that exceeds the one of existing systems.The components will be installed on the existing production lines and integrated with the client’s cutting machines. It will require very few infrastructure changes at the facility of each client.
Currently, the wood industry in Europe is more expensive compared to the one in Asian countries, where labor is significantly cheaper. Neural Grader could tip the scale in favor of the European industry.
Studies show that such an automated solution lead to improvements in wood waste reduction of over 20%. The wood industry plays a key part in climate change and lowering the carbon footprint. Strengthening the competitiveness translates into a lesser need for substitute products.