BinSpect

Bulk goods can be processed just as well as palletized goods in automated production thanks to “handle-in-the-box” technology. Take advantage of object recognition and automatic path planning in your production.

The handle in the box

Instead of monotonous, physically strenuous and unergonomic manual work, bulk material can be separated by a robot with the BinSpect principle and fed to the further machining process.

The possible parts spectrum ranges from small parts to components with a mass of several kilograms.

Thanks to advanced sensor technology, robust position detection is possible even for components with difficult surfaces. Use the technology to empty boxes and other goods carriers in a completely automated way in the future.

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Your Advantages

Separate chaotically provided parts reliably with the Binspect system. We configure a system with a suitable robot and gripper for you.

Separates Chaotic Bulk Material

Applicable to a wide range of individual parts

Cost-Effective

Due to shorter cycle time, the system pays for itself in a short time

Low noise operation

Significantly lower noise pollution than the use of vibrating tables

Space Saving

The required installation area is smaller than mechanical sorting systems

Low maintenance

Reliable system without wearing parts

Quickly adapted to new components

The system can be adapted to new tasks at low cost if the product geometry changes

We carry out regular tests with customer components. What components do you have for us?

Contact us and we will be happy to advise you.

How does the BinSpect work?

At the heart of our BinSpect solution is a 3D camera system that captures the product carrier together with the bulk material. The data is compared with CAD files of the components to be gripped by means of image processing and other algorithms.

The goal is the precise localization of parts that can be gripped. As soon as removable parts have been identified, the optimum robot path is automatically calculated, taking interference contours into account, and transmitted to the robot. The robot then moves to the identified part and grips it reliably.

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