We design and deliver modern machine vision systems based on neural networks for manufacturers and factories of furniture and wood flooring. We support the automation of quality control processes on production lines from raw material to the finished board. We offer two groups of applications that can be distinguished depending on the measurement method.
The algorithm for detecting defects in wood products based on neural networks achieves a great efficiency of 95%, with a low number of incorrectly classified samples. Our system is based on two measurement techniques: 3D scanning, based on the laser triangulation method, and an RGB colour line scan camera.
The system detects defects such as: