미디어 허브 - Video

3D robot vision for precision sealing in the automotive industry

By using a robot guidance engine with multiview feature, the Pickit 3D robot vision solution can achieve improved precision, flexibility to handle different models, adaptability to dynamic environments and enhanced quality control.

3D Robot vision powering safer and more efficient crankshaft production

A leading European automotive engine manufacturer deployed Pickit 3D robot vision to power safer and more efficient crankshaft production, now running autonomously during multiple shifts.

Empowering flexible automation in the automotive industry

How we empower smart, reliable and flexible automation while sustaining productivity in the automotive industry. Check out our latest 3D robot vision application case at a leading European automotive parts manufacturer.

Presenting the SD2 camera

Our 3.4 release did not go unnoticed so let’s dive a little deeper into some of the novelties, starting with our new 3D vision cameras. The SD2 is a multifaceted standard definition 3D vision camera, offering new possibilities thanks to its large field of view, 3D accuracy and robustness.

All-in-one 3D robot vision demo

Picking and placing, guidance, hole detection and assembly: here's a gripping all-in-one demonstration of how 3D robot vision can address various automation challenges.

Depalletization of boxes demo with 3D robot vision

Showcasing the capabilities of Pickit3D robot vision technology for depalletization at AdvancedFactories 2024 in Barcelona, Spain. Cool stuff.

Showcasing the Pickit 3D robot vision capabilities in the automotive industry

Removing Dust Spots on Cars at Hyundai

How Pickit 3D's robot vision helps automate the intricate task of dust spot removal on car bodies at Hyundai, with unprecedented efficiency and precision.

Calibrating a robot for absolute accuracy

Absolute robot accuracy is needed when using Pickit 3D robot vision for some high-accuracy applications. Calibration can be done using a laser tracker and an SMR. By moving the robot into various positions and recording both the reported position by the robot and the laser tracker's reading of the SMR, we can make the robot even more accurate in the application workspace.