Funded projects

As a software solution provider for Manufacturing Excellence, camLine intents to participate in supra-regional funding projects for high-tech companies with industrial production. The many years of experience, know-how, and software components made by camLine provide a good basis for the development of innovative and novel ideas. Furthermore, camLine benefits from these collaborations that affect the company in its future-oriented development.

For projects in many areas, European Union (EU) fundings are available. Intensive research and development (R&D) are not only the basis of economic progress. It rather is a condition that in the future, the European countries will be able to occupy one of the top places in the global high-tech and life science markets. Therefore, the EU promotes activities that help create and save competitive jobs for skilled workers.

iDev40 – European research project iDev40 focuses on networking

The aim of the project iDev40 is the optimization of complex production processes with networked production systems for the Industry 4.0. Part of the solution approaches are i.a. the establishment of machine learning techniques and artificial intelligence to classify real-time production data to be faster and more comprehensive. (read the orginal article here: Bundesministerium für Bildung und Forschung)

Duration: start May 2018 (36 months)

Project partners: 38 partners from six countries (see the complete list of all partners here)

SmartDe's@Work – Smart Devices in Production


The aim of the project "Smart Devices in Production" is to support manufacturing companies, especially small and medium-sized companies in Bavaria with regard to the implementation of Industry 4.0 technology.

As part of the project, the networking of the production participants via a middleware as an integration layer and smart device (smart phone, tablets, data glasses, data watches, wearables, smart gloves, smart shoes, etc.) is explored as a control instrument. In this way, employees will be enabled to interact with machines, other employees, and any existing IT systems. This should enable a more efficient interaction between all participants. The participant integration and the resulting production process improvement will create a considerable business potential.

Concept of the integration layer for smart devices in the production

Partner structure to achieve the goal

The companies BKW Kunststoff GmbH, biTTner Werkzeugbau GmbH, Dietz GmbH and REHAU AG + Co joined the project as application partners and do not only provide various use cases but also facilitate the project in giving access to their production facilities. camLine GmbH and Vogler Engineering GmbH are the development partners of the project jointly implementing the middleware and client applications. The project groups business informatics of Fraunhofer FIT and Process Innovation of Fraunhofer IPA are involved in the research and coordination of the project.

Duration: January 2017 - February 2019

You can find the results of the project "SmarDe's@Work" Open Source on GitHub.

Smart Data - Innovationen aus Daten
Bundesministerium für Wirtschaft und Energie

PRO-OPT – Big Data Production Optimization in Smart Ecosystems

Harvesting advanced data values in decentralized cooperative organizations

PRO-OPT is a Research and Development project as part of the technology program “Smart Data – Innovations in data” of the German Federal Ministry of Economy and Energy.

The main goal of PRO-OPT is to enable companies in decentralized cooperative structures (Smart Ecosystems) to perform effective and intelligent analysis of large data sets. In production, mainly caused by digitization and automation, an increasing amount of data accumulates. Available data sources are distributed among economically independent ecosystem’s stakeholders, especially as many sub-suppliers are involved in industrial production processes. PRO-OPT develops and evaluates Big Data methods and tools to enable local and global analysis on big data. The solutions are exemplified in the automotive domain, because this industry has a key position in Germany and, as such, has a significant effect on other sectors.

Duration: January 2015-December 2017

Project partners:

  • DSA Daten- und Systemtechnik GmbH (Konsortialführung)
  • camLine GmbH
  • Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
  • Fraunhofer-Institut für Experimentelles Software Engineering IESE

Big Data Production Optimisation in Smart Ecosystems

Bundesministerium für Wirtschaft und Energie, Dr. Simon Becker

Today's industrial production processes, such as in the automotive industry, are characterized by a high degree of labour division. Digital cooperation between individual companies takes place over decentralised data systems – so-called smart ecosystems. Dealing with the resulting enormous amounts of data poses great challenges to the industry again and again. Data arrives at different companies often superfluously and in varying formats or is analysed completely differently. Furthermore, companies have a vital interest in retaining control over their own data.

The project PRO-OPT tackles precisely these challenges. By developing a smart data platform that allows for both intelligent, integrated analysis and the visualisation of large amounts of decentralised distributed data during the production process while respecting local data sovereignty at the same time, different companies can avoid errors in production or the supply chain and significantly improve their procedures. PRO-OPT improves the production processes in the automotive industry, but the results can be transferred to other industries such as medical technology, e-energy, ambient assisted living or smart mobility.

Read the original article here.

Eniac INTEGRATE project

Eniac INTEGRATE project

Integrated Solutions for Agile Manufacturing in High-mix Semiconductor Fabs

Maintaining and developing a profitable and consistent manufacturing base in Europe is of key strategic relevance both in economic and political terms. The ENIAC JU project INTEGRATE shall enhance the wafer fab efficiency by improving the overall cycle time, decreasing the equipment cost of ownership, enabling simultaneous management of standard and non-standard lots and enhancing product quality. This will be achieved thanks to state of the art advances in manufacturing sciences and to reinforced collaboration within the local/regional ecosystems.

Eniac IMPROVE project

Eniac IMPROVE project

IMPROVE (Implementing Manufacturing science solutions to increase equipment productivity and fab performance) is a focused 36-month project within the "advanced line operations" industrial project of the ENIAC sub-programme SP8 "Equipment & Materials for Nanoelectronics“.

Maintaining the lowering of costs per function, reducing cycle times, improving reproducibility and equipment effectiveness, and reducing the environmental impact of factories are all key challenges. Addressing them successfully is key to enabling European SC manufacturers to maintain their competitiveness. Manufacturing science is the main enabler that will allow these challenges to be overcome.

IMPROVE aims to improve European semiconductor fabs’ efficiency by providing methods and tools to exert better control over process variability, reduce cycle times and enhance the effectiveness of production equipment.

To achieve these objectives, IMPROVE will focus on 3 major development axes:

  • The development of virtual metrology techniques allowing the control of the process at wafer level, whilst suppressing standard metrology steps.
  • The development of predictive equipment behavior techniques to improve process tool reliability, whilst optimizing maintenance frequency and increasing equipment uptime.
  • The development of dynamic risk assessment and dynamic control plan concepts, suppressing unnecessary measurement steps whilst dynamically improving control plan efficiency.