Towards Digital Twin-Based Dataspaces for Industrial Computer Vision Services

The development of scalable industrial computer vision (ICV) services is still in an early stage. While ICV ecosystems are being developed on an application-specific basis, there is no standardised technical infrastructure for cross-company or cross-organizational applications. This paper presents a novel approach for federated ICV services, exemplified through the need for visual assembly inspection in the quality assurance process of passenger car production. The use cases include the automated training of computer vision models from synthetic data and the execution of the inspection service itself. A prototypical pipeline is designed to demonstrate the federated processing. The novelty of the approach is the application of the AAS (Asset Administration Shell) digital twin standard for the provisioning of service relevant data combined with the EDC (Eclipse Dataspace Connector) to ensure secure and self-sovereign data exchange.