CODRO
AI-based condition monitoring and automated damage classification of extra-high-voltage lines using autonomous drones.
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ASTROSE®
ASTROSE® is a tried and tested monitoring system for high and extra-high voltages. By reliably recording measurement data, the line potential can be optimized, faults can be located more quickly and maintenance can be carried out more efficiently.
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AI-NET-PROTECT
The sub-project AI-NET-PROTECT (Providing Resilient and Secure Networks Operating on Trusted Equipment to CriTical Infrastructures) is investigating and developing concepts, network architectures and methods for automated and secure network operation in critical infrastructures and in industry. The focus is on protecting sensitive and security-relevant data and ensuring that the network infrastructure is highly robust.
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EVAL - IRFPA Camera & Digital IRFPA Sensors
The "EVAL - IRFPA Camera" is a camera for uncompensated image recording of temperature distributions. It can be used in building thermography, security applications, aviation and aerospace.
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Project CoMoLeFo
IGBT (Insulated Gate Bipolar Transistor) power modules are the key component in modern inverters for photovoltaic systems. Failures can be reliably avoided through condition monitoring and the resulting service life forecasts.
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RISC-V Processor IP Core EMSA5
The IP-Core EMSA5-FS is suitable for the implementation of microcontrollers for devices and systems in the automotive, aerospace, medical and other safety-critical applications.
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Elastic Computing
To benefit from the variety of new communication technologies, tight integration is required, especially to ensure high reliability and robustness, as well as much better security. This is the task of Elastic Computing.
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KISS_KI (IHP)
In the KI Simple & Scalable (KISS_KI) project, the project partners are developing a self-learning monitoring system for critical infrastructures that can be used to detect and analyze threats and their specific effects on critical infrastructures at an early stage. This system uses artificial intelligence (AI) algorithms to monitor the data and network traffic of technical process plants.
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