embedded world | AWARE – Energy-efficient edge AI sensor system for the development of monitoring applications in industry

Hall 4 / Booth Number 4-410

AWARE – Energy-efficient edge AI sensor system for the development of monitoring applications in industry

Key Facts

  • Demonstrator with vibration sensor up to 6.4 kHz, microcontroller, integrated radio transceiver and AI models integrated directly in the sensor
  • Adaptive edge AI system: processing of sensor data with unsupervised machine learning method using clustering, training exclusively on the microcontroller of the sensor node
  • Detection and classification of events in real time; result display via LED directly on the sensor, data transmission via BLE to an edge device possible

Categories

  • Testing Services
  • Software Development for HMI/Visualization
  • Application Development
  • Software Development for the IoT
  • Firmware and Driver Development
  • Other Services
  • Other Hardware Development
  • PCB design

Key Facts

  • Demonstrator with vibration sensor up to 6.4 kHz, microcontroller, integrated radio transceiver and AI models integrated directly in the sensor
  • Adaptive edge AI system: processing of sensor data with unsupervised machine learning method using clustering, training exclusively on the microcontroller of the sensor node
  • Detection and classification of events in real time; result display via LED directly on the sensor, data transmission via BLE to an edge device possible

Categories

  • Testing Services
  • Software Development for HMI/Visualization
  • Application Development
  • Software Development for the IoT
  • Firmware and Driver Development
  • Other Services
  • Other Hardware Development
  • PCB design
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Product information

We will be presenting our latest development AWARE at the trade fair. It is the result of a research project and the basis for developing your monitoring application together with you.

In AWARE (advanced wireless AI-enabled real-time environment), AI models are integrated directly into the sensor. This allows decisions to be made in real time without having to go via the cloud. Automated adaptation to new environmental conditions opens up a wide range of application areas, such as fault and wear detection in production.

With solutions like these, we are researching how to optimise the use of AI algorithms on resource-limited devices for IoT applications. To this end, we are developing energy-efficient edge AI systems such as AWARE with energy-optimised power distribution between as much sensor-related data processing as possible and as little outsourcing of tasks to the network as possible.

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Product Expert

Tino

Tino Hutschenreuther

Head of System Design

tino.hutschenreuther@imms.de +49 (0) 3677 874 93 40

Watch our product video

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