The Sympnia project is a participatory research action that aims to provide targeted high-resolution information on current and projected levels of air pollution in the greater area of Thessaloniki.

Sympnia’s services are supported through an air quality monitoring and forecasting single platformwith a combined use of data from different sources.

The SafeSchools project will develop a number of technologies related to the protection of schools and critical infrastructure against earthquake and other natural hazards. Among others solutions related to early warning and protection of school units and other critical buildings against earthquake will be available at the end of the project.

The object of the project is the development of a low cost and low energy wireless sensor system for the immediate detection of leaks in metallic piping systems for the transport of liquid and gaseous petroleum products in a noisy industrial environment

TekTrain project proposes a novel architecture, based on which a software framework and specialized smart devices will be built, offering the necessary tools and APIs towards making the educational programming process easy and fast.

The aim of the project is to develop an innovative and cost-effective solution to help in the complete transcription of historical manuscripts not only scholars but also archives, libraries, museums, etc.

The object of the project is the utilization of the recent important results in the field of mechanical vision, so the assistance systems for visually impaired people can now provide the ability to identify objects and persons at a semantic level.

The aim of the project is to design and build a smart wearable sole with integrated tread pressure sensors and other micro-electronic devices, which will be based on a completely different architecture from the existing approaches, achieving both improved sensitivity and significant price reduction. At the same time, the accompanying software will provide easy-to-use tools for analyzing and visualizing complex gait data.

The project "RADAR" conducts RESEARCH in the field of configurable "smart" microwave transceivers of the new generation combining nanotechnology with micro / nanoelectronics and pioneering 2D and 3D heterogeneous integration, CREATES products with enhanced functionality and taking advantage of a "unique business window opportunity" for applications from future 5G wireless networks to the upcoming ground and flying radar.

The ODOS 2020 project, through the collaboration of 3 Companies and 3 Research Bodies, aims to introduce an innovative technological solution, which through the use of the Network of Things ("Internet of Things" - IoT) and infrastructure-vehicle communication technologies, implements collaborative applications in the field of Intelligent Transport Systems without substantial and costly interventions on the road, contributing significantly to the increase of road safety and the safe maintenance of the infrastructure. The complete technological solution is addressed to all types of vehicles (passenger cars, trucks, motorcycles,…) and requires minimal to zero equipment on the part of the vehicles. The proposed solution is based on the integration of a network of micro and nano sensors in special infrastructure components placed on the road, which collect real-time information presented on the terminals (smart phones, tablets integrated or not, etc.) in the form of drivers smart mobile applications that give the relevant announcements / information, warnings and recommendations to drivers and infrastructure operators while promoting road safety, transport efficiency, and timely troubleshooting of infrastructure.

Harvesting the untapped energy provided by ambient sources can provide power to sensors and micro devices, such as micro-antennas for wireless communications, without the need of changing batteries. Such a harvesting system can both enable monitoring of a structure and reduce downtime cost, especially in structural components being difficult or dangerous to access. Among energy harvesting material sources, piezoelectric materials are proved to be more efficient in terms of power density. The current project aims to the development of an autonomous system with respect to electric energy for monitoring and wireless transfer of sensory signals from wind turbine blades. The project’s partner scheme includes two top research labs for mechatronics and piezoelectrics and two industrial partners highly specialized in microelectronics and in the management of wind energy parks. The outcome is expected to provide extremely high added value to all partners, since the proposed system is novel and can be extended easily to a vast variety of structural applications.

The object of the project concerns the development and construction of a system with dual optical sensor, low cost with emphasis on the ability to distinguish the type of fuel as well as the detection of sulfur content and related compounds. The proposed dual optical sensor system consists of two subsystems and will be applied to a (bypass) conductor of the main supply conductor in the system to be applied