Next! – Scoring of bread dough with 3D vision
21 October, 2021
AUXPAMA presents Next! A new step in Bread Dough Scoring systems.
Next! It is a new solution developed entirely by the AUXPAMA team based on 3D artificial vision applied to Scoring (Cutting) bread dough.
The automated production of bread every day faces new technological challenges. Next! was born from the need to provide a solution to bakery applications where you work with peelborads and where the loaves are not always positioned in the same place.
For a correct scoring (cut) it is necessary to locate the position of the different loaves that are in the peelborads and then make the cuts in that position.
How does it work?
Next! is based on 3 key pieces:
– THE EYES – 3D Vision Module – It is in charge of 3D scanning the tray obtaining information on each bread (position, height, length, width).
– THE BRAIN – Processing Module – Once the vision data has been collected, it is necessary to process them to calculate the most optimal movements to make the cuts in the shortest possible time.
– THE HAND – Scoring Module/s – With the processed information, the Scoring modules are in charge of positioning the water cutting nozzles on each loaf and making the cuts in their correct position.
What applications is it intended for?
The idea application for Next! It is in projects where we work with flat trays (Peelboards) and the bread is not always positioned in the same place. It also allows you to work with corrugated tray.
Where can we apply it?
The solution can be applied both in a machine with manual tray loading, automatic trolley (Rack) scoring or automatic high production production lines.
You can work with trays stopped or tray in motion, synchronizing the cuts with the speed of movement of the tray.
What types of cuts can you make?
Next! It allows all kinds of cutting into bars or round loaves.
What is the production?
Each Scoring Module can carry out 11,000 cutting movements per hour.
There is the possibility of installing several cutting modules in series increasing the production capacity
More info: David García email@example.com