DH electronics GmbH
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Discover our innovation center and get inspired

Technology fields of the future
We are building know-how today to shape the digital world of tomorrow

Particularly in times of digitalization and globalization, the world seems to be spinning faster and faster and changes are occurring at an ever increasing pace. In order to continue to be successful in the embedded industry, we are already looking at the future technologies of tomorrow. For example, we build up know-how at an early stage as part of research projects and provide training for our employees. It is not uncommon for the applicability of new technologies to be unclear at first, but in our view that is what research is all about. This makes it all the more important for us to put the knowledge gained into practice as quickly as possible with selected lead customers and partners, thereby creating added value.

Ubiquitous Computing

This refers to the ubiquity of tiny, connected intelligent devices built into any everyday object. The term ubiquitous computing is associated with a paradigm shift away from computers as tools toward implicit information processing. We understand ubiquitous computing as a basic requirement for the IoT era and already enable it today with our System on Modules.

Ubiquitous Computing

Artificial Intelligence

Artificial intelligence is a key technology for the realization of autonomous systems. In recent years, we have already conducted several research projects to build up know-how in the areas of machine learning, deep learning and Embedded AI in particular. Currently, we are working on applying the gained knowledge in first practical projects.

Artificial Intelligence

Autonomous Systems

In the future, autonomous systems will act independently, learn and solve complex tasks. They can be understood as machines, devices or software systems. We are currently gaining initial experience in the field of robotics and have both a self-driving robot and a cobot in use, which will enable automated testing of our SOMs in the future.

Autonomous Systems
Research projects
We shape the digital world of tomorrow

We have already successfully carried out numerous research projects and are currently working on future-oriented projects. Here we provide an overview of current research projects and their project objectives as well as our tasks as DH electronics.

  1. Reinforcement learning-based traffic optimisation and impact and benefit assessment for urban regions
    The project focuses on inner-city traffic optimization via reinforcement learning (RL). In order to create the necessary data basis for RL-based optimisation and further applications in the field of the smart city, on the one hand a self-sufficient sensor solution is being developed that is capable of comprehensively recording conditions at traffic junctions and, on the other hand, a cloud-based solution for data use is being developed that forms the basis for data management, standardized interfaces, simulation and machine learning (ML). In the project, a realistic traffic simulation of a city in Bavaria will be extended and an AI-based prediction for traffic models will be developed, which will form the basis for RL-based traffic optimization. The aim is to achieve a significant improvement in traffic flow for the road users under consideration on the basis of innovative algorithms and novel approaches. Furthermore, benefit and consequence assessments are to be made possible, which predict the technological change (e.g. autonomous vehicles) with regard to future traffic potential, as well as address potentials of a smart city. Finally, a test run of the sensor solution and optimization algorithms in the city's real traffic system is planned.

    In this project, DH electronics is responsible as a system integrator for the overall solution, which is made up of the components of the individual project participants and in particular the sensor system. DH electronics contributes comprehensive know-how in embedded systems to the project and offers the suitable platform with a system on module. In addition, DH has the opportunity to gain initial experience in the area of "self-sufficient energy supply" using photovoltaics and battery technology as storage.
  2. Advanced Deep-Learning System Control

    The efficient use of energy is an essential prerequisite for the economic operation of plants and machinery. A large savings potential lies in particular in the operational optimization of refrigeration systems. However, this potential is only insufficiently utilised because the operating state of refrigeration systems cannot usually be fully recorded due to the complex thermodynamic relationships. 

    The aim of the project is to develop an innovative method for the optimal control of incompletely known systems or processes and to implement it in an edge controller. The approach is based on deep learning technology and is being tested using commercial refrigeration systems as an example. The controller has a new type of hardware that optimally supports the neural algorithm.

Research partners
Together we gain new insights

Partnership is one of our most important core values. That is why we are happy to carry out research projects in cooperation with research institutes, colleges, universities and other companies, or take advantage of funding programs from the federal government and the state of Bavaria. Together with our research partners, we can thus contribute to research into new technologies or realize novel projects.



The Fraunhofer-Gesellschaft, based in Germany, is the world's leading organization for application-oriented research. With its focus on future-relevant key technologies and on the exploitation of results in business and industry, it plays a central role in the innovation process. > More about Fraunhofer.

ZAE Bayern is a nationally and internationally recognized non-university research institute. ZAE Bayern pursues the goal of achieving a CO2-neutral energy supply through renewable energies and energy efficiency technologies, thus contributing to climate protection. > More about ZAE Bayern.

FHWS is one of the largest universities of applied sciences in Bavaria with around 9,300 enrolled students and approximately 200 professors. > More about FHWS.

VDI/VDE Innovation + Technik GmbH is a project sponsor as well as a service and consulting company for various federal and state ministries, the European Commission as well as the financial sector and industry, there especially for small and medium-sized enterprises. > More about VDI/VDE.

AiF is the industry-supported network for the promotion of research, transfer and innovation in SMEs. Its aim is to initiate research for SMEs, to qualify young scientists and specialists in innovative fields, and to organize the exchange of information on the results of scientific research. > More about AiF.