MECH-MIND 3D VISION IS NOW PART OF THE UR+ ECOSYSTEM

Screenshots of the plug-and-play URcap

Using Mech-Mind AI + 3D Vision solutions, industrial automation projects are implemented quickly, flexibly, and cost-effectively, even for demanding vision-guided robotic applications.

ADVANTAGES AT A GLANCE

•       Shorter implementation time due to simple plug-and-play interfaces

•       Cost and time savings through manageable project planning

•       High stability and reliable scanning performance

•       3D motion simulation of the application with one click

Combining high-accuracy Mech-Eye industrial 3D cameras with AI-based Mech-Vision machine vision software and Mech-Viz robot programming software enables use in a wide range of industrial applications, including bin picking, machine tending, localization, palletizing and depalletizing, assembly, and more. Thanks to advanced algorithms and a pre-trained deep learning model, even complex tasks like item picking, the random picking of unknown objects, can be handled. Once installed, custom vision projects can be created using the code-free user interface to capture images and locate objects. Projects can even be triggered using the UR-Teach counterpart to determine object poses. Additional features such as collision avoidance and optimal gripping strategy can be integrated during robot programming.

FEATURES OF MECH-MIND AI + 3D VISION

•       Highly accurate and detailed 3D imaging of a wide range of object types

•       Comprehensive product portfolio for a wide range of applications

•       Simple plug-and-play setup

•       Stable and reliable scanning performance

•       Powerful and user-friendly graphical image processing software for reliable detection results

•       Plug-and-play robotic interface to reduce programming time

•       One-click 3D motion simulation of the application

•       Many built-in intelligent algorithms such as path planning, collision detection, picking strategy, etc.

•       Online user manual with the latest product knowledge