3D image processing for the inspection of fruits and vegetables

To sort brussel sprouts according to shape and size with EyeVision 3D

EyeVision 3D in combination with different 3D sensors, such as Automation Technology or Wenglor MEL, is especially suitable for the inspection of fruits and vegetables.

The software can generate a point cloud out of the 3D scan and detect flaws in the pattern, texture and on the surface, almost like a pattern match tool.

For this tasks the user can choose from a large number of commands for 3D object detection, 3D filter, and 3D probes. With the graphical user interface and the drag-and-drop function the programming of inspection programs according to the needs of the customer is easily obtained.

Harvesting robots or sorting systems

Also the shape and size of brussel sprouts as many sorts of fruits and vegetables do not always live up to the expectations of the super markets. On the one hand the harvesting systems can make sure with the help of image processing, that only those crops are harvested which correlate with the market criteria. Then there is no need to sort the crop afterwards. On the other hand it will still take some time until every grower is equipped with such harvesting robots. This means it is still necessary to sort the good from the bad fruits and vegetables on a conveyor belt. EyeVision 3D can be applied to both solutions.

It is the perfect tool to provide the perfect fruits and vegetables and at the same time make sure that not more than the usual garbage accumulates.

Also Color Inspection

In addition combinations with 2D applications are also possible. For example the EyeVision 3D commands inspect the shape and size of the brussel sprouts while the ColorControl commands check the color of the vegetable.

This happens so fast that it will easily work with any conveyor belt or sorting machine. Therefore a consistent inspection is guaranteed.

EyeVision 3D can also be used in other industries than food and beverage. It can classify any object, which is difficult to accomplish with the common image processing tools.

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