Automatic separation
Bin picking for minis
Reaching into the box is now also available for particularly small components and container dimensions. Multi-stereo technology enables the required precision and at the same time achieves scanning times in the millisecond range.
Small injection-moulded parts, connector components or even nuts and bolts: the MiniPick3D from Isra Vision detects objects just a few cubic millimetres in size with reliable precision. The system now enables even the smallest components to be picked fully automatically with a robot arm. As small components are usually very light for a robot and can therefore be moved quickly and only transported short distances, a high scanning speed is essential, as this is the only way to achieve the required short cycle times. With the help of special embedded processor technology, MiniPick3D achieves scanning times of a few hundred milliseconds, regardless of the surface structure or the components to be detected. This opens up new applications for reaching into the box, particularly in combination with collaborative robots, for example in the areas of assembly and logistics.
The MiniPick3D's quad-camera technology uses four integrated cameras to fully capture the volume of each container. The system is designed in particular for crates with a volume of 300 x 200 x 150 millimetres. Its powerful high-performance LED lighting projects a coded pattern onto the container surface, providing all the necessary reference points in a fraction of a second to reliably detect all the components to be picked at high speed. MiniPick3D uses the generated data to determine an optimized gripping sequence and calculates the corresponding robot paths.
Multi-view recordings
The different viewing angles of the four integrated cameras enable several perspectives on the same object. These multi-view images ensure that a target object is reliably recognized and gripped even if it is shadowed or has a shiny surface. Using CAD data, MiniPick3D receives the information it needs to recognize the components to be picked in the generated point cloud. The sensor also learns new components using a CAD data set - so almost any possible component shape can be quickly set up and detected. Equipped with WLAN and the OPC/UA protocol, the sensor is also prepared for networked production and Industry 4.0. as
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