High-precision object detection is therefore required. MiniPick3D meets this requirement and implements short cycle times. The sensor can detect and automatically grip components with an edge length of just a few millimetres - such as connectors, injection-moulded elements, electronic parts or precision mechanical components. Its quad-camera equipment ensures a complete overview of each container as well as the necessary precision and speed.

Small components are not only a challenge due to their small size: Robot systems can move them very quickly due to their low weight, and usually only over short transport distances. Fast scanning times and precise object recognition are therefore essential in order to achieve an optimum cycle time.

Quad-camera technology for high data quality
The MiniPick3D's quad-camera technology uses four integrated cameras to fully capture the volume of each container. MiniPick3D is designed in particular for crates with a volume of up to 300 x 200 x 150 millimetres. The different viewing angles of the four integrated cameras enable several perspectives on the same object. These multi-view images ensure that a component is reliably detected and gripped even if there are shadows or light reflections on the surface.

Using special embedded processor technology, the sensor achieves scanning times of just a few hundred milliseconds, regardless of the surface structure or the components to be detected. Its powerful high-performance LED illumination provides all the necessary reference points in a fraction of a second to reliably detect the components to be gripped at high speed. In addition, several parts can be gripped after just one scan, which offers further time advantages. In combination with collaborative robots in particular, this opens up new applications for "reaching into the box", for example in the areas of assembly and logistics.

Industry 4.0-ready
Using CAD data, MiniPick3D receives the information it needs to recognize the parts to be gripped in the generated point cloud. The sensor automatically calculates the optimum collision-free robot path to pick the parts. An integrated plausibility check ensures uninterrupted operation. The sensor also learns new component shapes using a CAD data set - thanks to the easy teach-in with CAD teach-in, almost any possible component shape can be quickly set up and detected.

MiniPick3D is suitable for all common robot types and can be permanently mounted or used on a mobile robot. With WLAN and the OPC/UA protocol, the sensor is also prepared for networked production and Industry 4.0. as