The GS2000 can acquire an image of a single wooden board in 0.5 seconds. In image processing and analysis, it uses a neural network classifier and a Bolb module. The neural network is the core of defect detection and classification, and the Bolb can further highlight defects such as holes, cracks, breaks, stains, and gaps, effectively improving the processing efficiency and reliability of the neural network.