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Current Publication

Impact of Input Data on Intelligence Partitioning Decisions for IoT Smart Camera Nodes

Isaac Sánchez Leal1. Irida Shallari1. Silvia Krug1,2. Axel Jantsch1,3. Mattias O’Nils1.

Electronics 2021, 10, 1898. DOI: doi.org/10.3390/electronics10161898

1Department of Electronics Design, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 3Institute of Computer Technology, TU Wien (Vienna University of Technology), Gusshausstrasse 27-29/384, 1040 Vienna, Austria.

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Project

EdgeCam

In EdgeCam, IMMS provides the smart communications between cameras of a virtual safety zone for truck cranes.


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Core topic

Analysis of distributed IoT systems

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.

Service for R&D

Development of embedded systems

We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.

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.

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.

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