IMMS - Search

Research field

321. AI-based design and test automation

With Ilmenau TU, we have developed an AI-based anomaly detection method to automatically detect non-proven and potentially faulty locations in layouts. Our relatetd plugin for the free design tool KiCad is available on GitHub. Source: IMMS.

Core topic AI-based design and test automation in our Integrated sensor systems research field: We are researching to use AI to make the development process of integrated sensor systems safer and more cost-effective. AI can help developers in the process to avoid errors and apply informal knowledge in an automated way.

Research field

322. Smart distributed measurement and test systems

Smart distributed sensor technology for monitoring microclimate and drought stress in agriculture. Photo: IMMS.

Research field Smart distributed measurement and test systems: Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.

Research field

323. Analysis of distributed IoT systems

IoT system that visualises and analyses noise in cities for noise abatement measures. For the new platform, which collects audio data and classifies it based on AI, we developed the data hub, among other things. Photograph: Rolf Peukert, IMMS.

Core topic Analysis of distributed IoT systems in our Smart distributed measurement and test systems research field: For complex distributed IoT systems, we model components for system-wide analysis of energy consumption. We put intelligence into the network, enable tasks to be solved flexibly and autonomously, and make individual functions portable and robust.

Research field

324. Embedded AI

In the KIQ project, we investigated solutions for embedded AI and, on this basis, implemented an AI-based retrofittable and cost-effective solution for quality assurance of cutting tools. Photograph: IMMS.

Core topic Embedded AI in our Smart distributed measurement and test systems research field: The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.

Research field

325. Modular and mobile test systems

Modular measurement environment for mixed-signal real-time parameter acquisition during lifetime tests. It enables time- or cycle-based tests at up to 175 °C on up to 128 components simultaneously. Photograph: IMMS.

Core topic Modular and mobile test systems in our Smart distributed measurement and test systems research field: Test capabilities are an integral part of all application developments. We research modular test systems that can be adapted flexibly and quickly to new challenges through optimised functional test units.

Lead application

326. Sensor systems for in-vitro diagnostics

Preliminary investigations at IMMS with a sensor from Jena University with 15 graphene FETs for miniaturised measurement technology for SARS-CoV-2 detection. Photograph: IMMS.

Lead application Sensor systems for in-vitro diagnostics: Here we are developing sensor systems for in-vitro diagnostics that enable individual, decentralised health monitoring for all with electronic rapid tests.

Lead application

327. RFID sensor technology

We have developed an RFID sensor transponder IC as a bridge between NFC and I²C, with which commercial sensors for diagnostic applications can be connected, operated without batteries and read out by smartphones. Photograph: IMMS.

Lead application RFID sensor technology: We are researching energy-efficient solutions for RFID sensor technology in order to open up new applications and, for example, to make processes in industry more resource-efficient.

Lead application

328. IoT systems for cooperative environmental monitoring

Our goal is to answer complex questions in environmental and plant monitoring with intelligent sensor networks. Among other things, we use the prototype shown here to record abiotic parameters in fruit growing. Photograph: IMMS.

Lead application IoT systems for cooperative environmental monitoring: We are researching energy-efficient solutions for IoT systems to open up new applications for cooperative environmental monitoring, such as in agriculture.

Lead application

329. Target markets

We exploit pioneering results from science through application-oriented developments for innovations in health, the environment and industry. Photograph: congerdesign, Pixabay.

Target markets: We exploit pioneering results from science through application-oriented developments for innovations in health, the environment and industry.

Service for R&D

330. Services for research and development

Services for research and development: We provide support during the entire R&D process from concept and design of devices and modules to transfer to industrial production. You can cooperate with us in funded projects or commission services directly.