DI-Vision project

Industry 4.0 aims to transform industrial processes through the integration of ‘smart’ technologies such as AI, automation, and robotics, into manufacturing processes. Integral to many high-value industries are machine vision systems (MVSs) where cameras and sensors are used to monitor production. These systems enable correct part placement during assembly, coordinate robots and detect defects whilst improving efficiency, increasing productivity, and reducing costs. The integration of ‘digital twins’ could further improve MVSs by providing virtual models of physical objects that use real-time data from sensors to simulate MVSs behaviour and monitor operations. However metrological standards, calibration methods, traceability and uncertainty assessment for existing and newly developed MVSs are lacking.