Vision App Pro | for igus Robot Control (iRC)
The igus Vision App Pro
With iRC Vision Control Pro, you can automate pick-and-place applications using intelligent, camera-based object recognition. The app recognises components in real time based on their shape, colour and size, and transmits this information directly to the robot. It can recognise up to five different object types, including their position and orientation.
Thanks to its seamless integration with the iRC system, support for all USB cameras, and simple set-up and calibration, it can be put into operation quickly and without the need for additional hardware.
Flexible camera settings and comprehensive tutorials ensure maximum performance and a quick start to visual automation.
Hoogtepunten

Object recognition for precise pick-and-place processes
The iRC Vision App Pro enhances robotic applications with powerful camera-based object recognition for pick-and-place, sorting and feeding processes. Objects are recognised in real time based on their shape, colour and size, and can be processed directly by the robot. Thanks to its seamless integration into the iRC controller, no additional complex image processing systems are required. The app supports the recognition of up to five different object types, including angle detection and position determination, enabling precise gripping operations. This reduces manual effort, increases process stability and ensures consistently high-quality performance.

Flexible automation with intelligent image processing
The iRC Vision App Pro enables automation tasks to be carried out quickly, flexibly and cost-effectively. The solution is compatible with all USB cameras and allows for easy set-up and rapid calibration directly within the iRC system. Extensive camera settings support the optimisation of speed and recognition quality for a wide range of applications. Furthermore, information on object size and other characteristics is available during programme execution, enabling the implementation of intelligent handling and sorting strategies. A comprehensive video tutorial makes it easy to get started and allows users to commission the system quickly, even without in-depth knowledge of industrial image processing.

