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Deep learning machine vision software for wooden planks
Defect detection system on wooden planks.

Industrial vision in deep learning for carpentry

Deep capture, machine vision software in deep learning allows the quality identification of wood planks in planer output.

The system ensures the detection and classification of several anomalies (black knots, cracks, lack of materials, etc.).

As in other machine vision applications, faults are subject to interpretation. Our deep learning system allows to differentiate the results according to the faults location on the board (acceptable faults on the edges of the boards).

The acquisition operates in real time at a scrolling rate of 30cm / sec.

Wood planks

Wood planks

Consumer PC

INTEL CORE I9 7940X
32GB RAM
2x GEFORCE RTX 2080TI-11G
WINDOWS 10

SVS VISTEK camera

Configuration of the deep learning model compatible with Google’s open source platform: TensorFlow.

Results detection and communication on Deep Capture software.

Taking photos and labeling on deep vision software