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Vision Systems

Wood Inspection

Machine Vision for Wood Inspection

Wood is an organic material that has been used for centuries in buildings and furniture’s. Wood is challenging to work with from an inspection point of view, as every piece of wood is different/unique. Generally, many hours and resources are spent in manual human inspection and sorting.

Human inspection has two challenges:

1) It is costly,

2) Because inspectors perform a subjective inspection it is difficult to avoid variations in results.

Over the last years the wood industry has been looking for solutions, to minimize manual inspection to secure a more stable quality of the finished products. Specially knots and resin pockets can be difficult to categorize in good and bad, as the number of possible variations is infinity.

When using glue boards for quality furniture, it’s very important to detect the knots that could cause holes or drop outs as early as possible, before the board is processed in expensive operations. Some resin pockets can give problems, if the furniture is placed in warm surroundings where the resin is getting more fluent. It is very difficult to distinguish between acceptable resin pockets and rejectable resin pockets.

JLI has made several applications for wood inspection regarding quality control of knots and resin pockets in glue boards.

JLI is one of the leading companies using Machine Learning combined with Machine Vision, and the leading company where neural networks have been trained to detect good and bad knots and resin pockets, with more than 30.000 annotated images.

The detection rate today is better than 97%, which is substantially better that manual inspection can achieve. This is only possible by a combination of Machine Vision, 3D, deep knowledge about cameras, light and Machine Learning – we call it Hybrid Vision.

The use of Hybrid Vision can solve many challenges in connection with quality inspection or sorting of organic material.

General features/benefits of the JLI turnkey vision systems include:
  • Custom made
  • State of the art technology
  • Prepared for updates or extensions
  • Adapted to existing production lines
  • Integration with processing machines
  • Statistics and reports
  • Internet connection for support
  • Excellent reliability track records
  • Special applications