Roboception GmbH Product
Eyes and brains for your robot: With its innovative hardware and software products, Roboception GmbH, based in Munich, is a pioneer in 3D sensor technology. Our 3D stereo sensor rc_visard enables robotic systems to reliably perceive their environment in real time; the complementary rc_reason software suite offers application-specific modules to add on as needed for your individual tasks. Intuitive user interfaces make the implementation as easy as can be: Users, even without any prior robot vision experience, will be able to deliver task-relevant information such as grasp points with just a few mouse clicks. We combine both classical and AI-based methods to give the robots eyes – and hence deliver key elements of our customer’s most forward-looking automation solutions in domains like logistics, automation and beyond.
Product filed under:
Cameras & Smart Cameras, Image Sensors, and Sensors Cameras & Smart Cameras, Image Sensors, and Sensors
The rc_viscore is a high-resolution IP54-protected 3D stereo sensor with an integrated pattern projector.
The rc_viscore is especially suited for the more complex automation tasks in industrial automation and logistics, such as the detection of small parts in larger workspaces.
In combination with the rc_cube, the rc_viscore provides the image data for object detection and grasp computation applications, e.g. in industrial automation and logistics applications. Providing exceptionally high resolution images, the rc_viscore is the ideal 3D stereo sensor even for complex robotic applications. It is compatible with all rc_reason software modules. The modules of the rc_reason software suite optimize the sensor’s performance for specific applications.
The scope of delivery for an rc_viscore includes a large CalibrationGrid, two 10 m Gigabit ethernet network cables and a 10 m power cable with an M12 connector and one open end, and the SGM®Producer software library.
Other Products from Roboception GmbH
rc_reason ItemPickAI
Roboception's ItemPickAI software supports an efficient separation as well as an oriented placement of so-called ‘unseen’ objects – i.e. objects