Due to the inconsistent texture of wood, each piece is unique, making quality control of wood a challenging task. To overcome these challenges, PEKAT VISION’s deep learning neural network learns to understand the texture from a set of images and helps to determine whether the required quality is achieved. It helps grade wood based on quality and determine suitability of each piece for a specific application, greatly increasing speed and consistency while reducing inspection costs.
Inspection of Wooden Palletes for Recycling
With the Surface Detection module, PEKAT VISION helps companies identify defects on pallets destined for recycling. 3D imaging technology helps identify even hard-to-see defects
Inspection of Wooden Palletes – Nails
PEKAT VISION looks for insufficiently hammered nails that protrude from the pallet and can cause complications during transport, damage the transported goods or even lead to injury
Anomaly Detection of Wooden Planks
The Anomaly Detection module is ideal for detecting previously unseen defects or where the shape and size of the defect is difficult to anticipate
Glue Irregularities Detection
The Surface Detection module also helps in detecting irregularities of glue or other adhesive layers
Annual Rings Orientation
PEKAT VISION Object Detector module is used to identify the orientation of annual rings on wooden planks
Wood Knots Detection & Classification
Wood knots have an adverse effect on wood strength. For some applications, it may be necessary to establish what kind of knots are present in the wood – encased knot, ingrown, decayed, spiked etc.
And more! Ask for a free feasibility study for your specific case. Our software is highly versatile and can be customized to suit nearly any intended application.