SecureAR
Secure AR service platform for industrial manufacturing
PROJECT DESCRIPTION
Secure augmented reality for industry
OBJECTIVES
The objective of the project secureAR is to research and develop innovative services in the industrial production environment. The research field of augmented reality (AR) is to be transferred into applicable solutions.
For this purpose, a cloud-based service platform with open interfaces should be provided for various industrial sectors. The service platform collects data along the entire value chain, from planning and production processes to plant maintenance. It enables location- and situation-based provision and visualization of the data via a novel AR assistance system.
INNOVATION & METHODOLOGY
Within the scope of the project, software functions are combined with each other in a targeted manner and these are modularized so that they meet a flexible distributed use with the model of a microservice architecture.
The main challenges lie in the generic design of the software services and in the creation of a distribution concept for cross-user applicability in an industrial context.
OUR CONTRIBUTION
In the AR Base subproject, Gestalt Robotics develops industrial AR basic functions, such as object recognition, markerless localization and semantic mapping, and tests them on use cases of the project partners.
Furthermore, Gestalt Robotics is in charge of the development of the distributed software architecture and interfaces. Further efforts and development requirements lie in data acquisition for the recognition of general industrial object classes, in platform integration, e.g. in MindSphere, in (automated) deployment and in interface engineering for the integration of machines and process data in the application context.
Key facts
Software Architectures
Cloud and Edge Computing
Seamless scaling
Open interfaces and easy integration
Object Recognition
Optimization for mobile use
6 DoF Pose detection and tracking
Data sets for industrial objects
AR-based Assistance
Support of manual activities with the right information at the right time
Integrate environmental understanding and context information
Self-Localization
Simultaneous Localization and Mapping
Precise self-localization in real time
Creation of semantic environment maps
PartnerS & CONSORTIUM
Siemens AG
Project management, development of platform-independent AR SDK, integration of MindSphere cloud solution into overall system, development of secure mobile HW platform, integration of new AR assistance system into industrial use cases
Airbus Operations GmbH
Development of a specific use case for aircraft manufacturing and maintenance, integration of the new AR assistance system
Kernkonzept GmbH
Development of an operating system for secure use in an industrial environment, research and implementation of the operating system architecture
Fraunhofer FEP
Coordination of HW development work, prototypical realization of a novel low-power information display with extended resolution and integration to an optical module
TU Dresden
Selection and specification of the hardware platform, design of a secure hardware and software architecture
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin
Selection and specification of the hardware platform, design of a secure hardware and software architecture
Funding
Federal Ministry of Education and Research
Program
“lnternetbasierte Dienstleistungen für komplexe Produkte, Produktionsprozesse und -anlagen (Smart Services)”
Duration
05.2020 – 04.2023
Project Management Agency
Projektträger Karlsruhe (PTKA)
ProjeCt poster
Project poster (German) as printable PDF
This project is/was financed with funding provided by the Federal Ministry of Education and Research under the “lnternetbasierte Dienstleistungen für komplexe Produkte, Produktionsprozesse und -anlagen (Smart Services)” program and managed by the Project Management Agency Karlsruhe (PTKA). The author is responsible for the content of this publication.