Development of Innovative sensor systems offering distributed intelligence

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Christos Tsamis






NSRF 2007–2013

The MEMSENSE project aims at developing innovative sensor systems and next generation architectures in order to provide distributed intelligence in the areas of smart buildings, industrial automation, and medicine.

The project consists of 8 industrial members of HSIA (Hellenic Semiconductor Industry Association) and 6 of the most prestigious academic and research institutes of the country, thus assuring a close collaboration between research and industry.

MEMSENSE is organized around 8 discrete activities that are all related to each other, and correspond to the following work packages:

  • Requirements and Specifications
  • Smart sensor technologies
  • Wireless communication interfaces
  • Autonomous sensors
  • System Integration
  • Integrated platforms
  • Dissemination and Publicity
  • Management

MEMSENSE is a complex project, which covers many different research areas and in particular:

  • Research and development of integrated circuits (ICs) and systems, as well as design and production of ASICs, hybrids, modules, systems and printed circuit boards (PCBs) in the field of smart sensors.
  • Design and/or development of transceivers for wired and wireless telecommunications, and software development for networking and controlling the embedded systems of a wireless sensor network.
  • Design and/or development of multimedia processing systems (as part of a digital microphone development).
  • Software development for embedded systems as an inseparable part of the produced solutions.

Potential applications of the systems developed within MEMSENSE include:

In smart buildings, the development of an environment of ambient intelligence which senses environmental conditions and enables services of control, interconnection, security, comfort and energy saving.

In industrial automation, continuous assessment and control of production lines and prediction of possible failures.

In patient treatment, enabling the remote monitoring of COPD patients and the prevention of deadly medication errors which are associated with the administration of drugs.

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