The service helps companies investigate, develop, and evaluate 3D CAD based machine vision, 6D pose estimation, and AI surface matching for robot guided part picking and random bin picking. Based on the customer’s products and production needs, the service evaluates optical sensors, CAD point cloud alignment algorithms, and gripping feasibility. The purpose is to provide companies with a validated basis for deciding whether a vision based robot solution can boost flexibility, reduce picking cycle times by up to 25 percent, and eliminate costly mechanical part feeders in automated production.
A documented assessment of whether 3D CAD-based vision can solve the specific production task, including solution options, demonstration results, and a comprehensive report with recommendations for next steps.
The service is delivered as a joint exploration and assessment process including analysis of the picking task, evaluation of 3D CAD-based vision, optional demonstration in a robot environment, and delivery of documented recommendations and a comprehensive report.
Circular economy, Factory-Level Optimisation, Human-Robot Interaction, Computer vision, Other emerging and enabling technologies