MiCROTEC Ai
Artificial Intelligence offers real advantages
The key to successful use of deep learning AI is a large amount of the right data, the right tools, and a team of the right people who know what needs to be done.
One step ahead
Deep learning AI is part of all MiCROTEC products, whether they are designed for log wood, lumber, or planed timber.
MiCROTEC Ai recognizes even patterns that are aesthetically desired, ensuring appealing surfaces. Until now, no scanner has been able to do that.
"We have brought the AI knowledge of all MiCROTEC branches and the existing technologies together in order to take the possibilities of deep learning AI in the timber industry to a new level."
Patrick Freeman - Chief Technology Officer
Artificial Vision based on heuristic processes
⤫ Over 30 years of experience in machine vision
⤫ Extensive library for classic machine vision algorithms enables complex detection tasks
⤫ High execution speed of algorithms to enable execution on standard computers
Artificial Vision based on Deep Learning
⤫ Each node is a feature detector
⤫ New algorithms let us efficiently train many-layer networks
⤫ Learn by example: a data-driven approach to difficult problems
MiCROTEC "Ai-Inside"
When it comes to log wood, MiCROTEC Ai not only supports the scanner in the assessment of wood defects such as dead knots, resin pockets, or compression wood, but also determines the exact volume in winter. When there is frozen snow on the logs, the volume is often overestimated. Using MiCROTEC Ai, the scanner can distinguish snow from wood and measure logs more precisely.
A big database
For the creation and further development of its AI platform, MiCROTEC uses all the different sensors of its scanners. This allows us to collect the necessary data so that our AI can learn in the best possible way. Then, we need the right tools to process the data and as many samples as possible so the AI keeps getting better. Our large database usually contains data on similar types of wood which often have comparable properties and characteristics.