Your browser is out of date. It may not display all features of this websites. Learn how to update your browser.

OK
Start configuring your vision system now Webshop
Language: English

Pick-and-place Robot in an Industrial Bakery

The problem

A wide variety of baked goods are produced and packaged in an industrial bakery. The picking process of the packaged baked goods needs to be automated, to use employee resources more efficiently and to reliably plan picking capacities.

The challenges for the vision-guided robotics system are high:

  • The variety of products is large and the baked goods differ in shape and size, making it difficult to determine the position and orientation of the bags on the conveyor belt.
  • The transparent plastic packaging is difficult to detect with optical sensors because of the low contrast and reflections.
Kine robotics
3D vision-guided pick and place robot

The solution

KINE Robotics, a provider of turnkey robotics solutions, together with Basler's distributor OEM Finland, has developed a conveyor tracking system that enables a pick-and-place robot to safely grip bags of bread loaves and rolls of different sizes and shapes on the conveyor belt and to place them in transport boxes.The previously manual picking of baked goods was thus replaced by a high-performance system with 3D vision guided robotics for a faster and less error-prone depositing process

A Basler blaze-101 3D camera installed above the conveyor belt records the packages as a point cloud with over 300,000 XYZ coordinates using the Time-of-Flight (ToF) method. The Matrox Design Assistant X software converts the point cloud into a depth map, which is analyzed using 2D vision tools to determine the grip points for the robot. The robot itself is a four-axis Stäubli TS2-60 SCARA robot.

The robot communicates via the Transmission Control Protocol (TCP) with the Stäubli VALtrack software, which combines the pick coordinate information from machine vision with the optical trigger sensor and encoder signal from the conveyor belt.

Instead of traditional contrast based 2D analysis, the packages of baked goods are identified using 3D vision based on their position and orientation on the conveyor belt and recorded as a point cloud. This makes the application much more robust and less sensitive to color variations of the packs.

3D point cloud of a bread package
3D point cloud of a bread package

Your advantages

  • Precise, light- and contrast-independent 3D imaging using the Time-of-Flight method
  • Suitable for moving objects thanks to a maximum frame rate of 30 fps
  • Easy hardware installation due to lighting and pre-calibrated optics already integrated in the camera
  • Non-disturbing due to wavelength spectrum of 940nm in the NIR range that is invisible to humans
  • Industry-proven and durable camera hardware with IP67 housing
  • Easy system integration of the camera thanks to communication protocols GigE Vision and GenICam (GenTL)

The entire conveyor tracking system fits seamlessly into the automated processes of the packaging line. Due to the compact Basler blaze camera with ToF technology and with no need for separate lighting, KINE Robotics could build a lean and fast system with reduced overall system costs. As a result, 25 to 30 packs per minute can now be processed by the robot. Therefore, the industrial bakery benefits from an increased throughput of goods and a cost-efficient production process.

Do you have questions about this Customer Story or would you like to learn more?

Contact us Download Customer Story

Products used

Basler blaze

Basler blaze

High-resolution, precise 3D camera, Sony DepthSense™ sensor technology, easy integration and cost-effective

More about the Basler blaze

Are you interested in a 3D vision solution?

Contact us

Back to Webshop