End2Fire (End-to-end cost effective fire detection and protection system) is a platform for end-to-end fire protection, covering optimal (cost effective) deployment of cameras, detection component, localization algorithms, intelligent C&C functionalities (DSS) and conclusion drawing com-ponent. Hence, the end users that may be civil protection services, public authorities (e.g., smart city authorities) or large private industrial infrastructures can setup a low cost and fully functional solution for handling fire incidents in urban or rural spaces. The two axes of commercial innovation are: quality (early warning, accurate response, debriefing capability) and cost-effectiveness (open software, commodity hardware for detection, minimal deployment requirements). Both collaborating partners, Mobics and ClearCut (C4) have already developed parts of such platform (such as basic C&C functionality and camera-based fire detection) but some new components require joint effort and the aggregated know-how in order to be successfully implemented. Such components will enhance the existing solutions of the partners in new ways and will also lead to a new product, that no individual partner could deliver by itself. Other more generic C&C systems, are either not optimized for the fire risk, or are too expensive to deploy and operate. In the joint R&D tasks, Mobics will provide expertise just in knowledge technologies (ontologies and rules), while the Israeli company C4 in domain modeling, GIS and operations algorithms.

The project is co-funded by:



MOBICS participates in the FIspace project with the task of implementing two applications for the Greenhouse Management Trial: the Crop Monitoring App and the Crop Analyzer App.
Crop Monitoring App is a mobile application with an intuitive user interface that will enable remote diagnosis of crop growing problems. The app will include features such as the following: greenhouse calendar, optimal photo shooting, information extraction from the photos, integration with other digital tools (i.e., microscopes) and guides for appropriate pesticide selection and successful disease management.
Crop Analyser App refers to a crop manager and analyser tool that enables remote diagnosis of crop diseases and analysis of other growing issues (e.g. pesticide spraying), communication between the interested parties and several decision support tools. Some advanced features are pattern recognition based on computer vision methods, retrieval of similar cases with reasoning techniques and a knowledge base that allows for multi-faceted search.
These applications will be fully integrated and also integrated with the core FIspace infrastructure. They will be evaluated during lab and field trials in terms of usability and greenhouse process improvements.
To learn more about FIspace visit the project site: www.fispace.eu

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 604123




The goal of the GINSEC project is to build a pre-commercial prototype of a low-cost, accurate and reliable navigation system for professional drone market. Consumer-type navigation systems work quite well in general use despite the many practical problems that still affect them. Most noticeable in vehicle navigation are the slow time to first fix (up to a few minutes), poor or no availability (outages in tunnels or dense cities), slow dynamics and poor accuracy (enough to occasionally miss an exit) and lack of a heading indication. If these problems can be annoying to an occasional user, they may be critical to professional ones, especially if operating under emergency conditions (ambulance services, fire brigades). GINSEC aims at developing a navigation system that should solve these problems with various sensor configuration and fusion approaches:

  • Redundant low-cost inertial units to improve dynamics and availability of navigation, possibly using a tightly coupled approach.
  • Antenna arrays, to obtain heading estimation and beamforming to attenuate multi-path and interferers.
  • Map-assisted navigation: map database is actively used in the navigation filter to improve accuracy over traditional (e.g. stay on road) approaches.

The GINSEC consortium consists of SMEs and RTD performers that are active in the GNSS/INS market. RTDs will mainly study and develop the data fusion algorithms for navigation, while the SMEs will develop, manufacture and test the prototype navigation system. The challenge is to implement and integrate all above technologies in the frame of limited size, weight and cost imposed by the drone market requirements. Through their collaboration, the partners aim to develop a navigation solution directly exploitable on various kinds of drones.

Project partners: ECLEXYS, SaphyrionLaser NavigationConsorci Institut De GeomaticaBrightcom SolutionsIstituto Nazionale Di Astrofisica

More info:


The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 606644



Cultural and nature tourism is a vital economic sector that contributes significantly to the country's gross domestic product. In order for Greece to increase the value of its tourism product against its competitors, not only infrastructure marketing and e-commerce services should be improved, but also novel advanced and unique information services have to be deployed. Despite the wealth of cultural sites and attractions in Greece, many of them are still unknown and unexploited. The Thrace region is an obvious example, where visiting unattended cultural or natural beauty sites where no information is available is a common situation.

To this end, we propose the development of iGuide, a system that aims at enabling a socially enriched mobile tourist guide service that will be accessible from smartphones. iGuide will address a much wider range of sites and attractions than existing solutions cover. iGuide's major targets for exploitation are historic and traditional settlements, sites of natural beauty or unattended sites where access to information is unavailable or not directly provided. The proposed service will allow the casual visitor to obtain information and guidance on site. In addition, active users can personally contribute to the content enrichment of the visiting places by uploading user-generated media (images, audio, videos, etc.) along with their personalized content about the acquired experience (comments, ratings, etc.).

At the same time, users will be able to receive supplementary added value location-based services and recommendations to enhance their visiting experience and facilitate their wandering in places of interest and their direct interaction with local provisions. To enable such a service and in order to improve the visitor's experience, iGuide targets in providing text-to-speech (narration) functionalities, rich multimedia content including real-time 3D graphics and a supporting back-end Web 2.0 informational portal. 

Project partners: Athena Research and Innovation Center, Αthens Ιnformation TechnologyVodafone, Ιnnoetics, Riverland, The region of eastern Macedonia and Thrace.

The project is co-funded by:




The full project title is "Ship' s Health Condition, Operational Status and Performance Remote Monitoring based on wireless sensor network and technical experience management system". The main goal of the project is to develop a smart wireless sensor network platform that can be used to monitor the status of a ship on a 24/7 basis, to apply condition based maintenance models and services to a maritime company, and to allow a maritime company to operate in an environment friendly way. Condition Monitoring (CM) creates a mechanism for objective feedback on the quality of any work which has been carried out. Focusing only on what needs to be maintained helps create minimal disruption to operations and fewer unnecessary tasks, in turn delivering a more effective maintenance process, improved reliability and business value. The potential benefits of using CM within a condition-based maintenance culture include: improved safety and reliability, optimized scheduling and maintenance costs, fewer unnecessary spares, strips downs and maintenance-induced failures, reduced uninsured risk. The platform to be developed will combine hardware and software that will allow a smart and easy way of monitoring of critical ship parameters in order to evaluate their operational status and their efficiency. The adaptability to any type of vessel, the easy expansion, the distributed intelligence, the high ROI and the low installation cost and time are the basic advantages that make our approach unique to the global market. The objectives of the project include the following:

  • Development of new optical sensors for measuring critical parameters for monitoring the efficiency of the ship, such as fuel type indicators, exhaust analyzers and torque meters.
  • Design of a wireless sensor network based on new intelligent multi-sensing devices and fully adapted to the ships’ environment.
  • Development of a sophisticated experience management system for handling the collected data and automated diagnosis and prognosis software tools.

Project partners: Prisma Electronics, Kavala Institute of Technology, dept. of ElectronicsCE.RE.TE.TH, National and Kapodistrian University of Athens, Institute of Communications and Computer Systems, CTI Diophantus, Danaos Management Consultants, ANEK.

The project is co-funded by:



The project involves the development of a stochastic soft-sensor model to predict the performance of a complete industrial wastewater treatment plant, using easily measurable parameters (eg temperature T, pH, biogas production) that can be made by operators in period of a few hours, using the time series of the above data stored in the SCADA of the unit and training the system with the method of machine learning (machine learning).

In addition, the main goal is to develop an algorithm based on evolutionary calculation to optimize the operational parameters of industrial wastewater treatment plants, such as hydraulic supplies, loads, etc.

The novelty of this project is that it will try for the first time to take advantage of the very large amount of data provided by modern SCADA systems and the new generation sensors, to be used for modeling and therefore accurate forecasting of system behavior. Based on the above, the prevention of a) failure of these units and b) environmental accidents, becomes vital, while at the same time ensuring the operation within the predetermined environmental limits and energy recovery targets.

In summary, the objectives of the project are the following:

  1. Application of computational intelligence methods for modeling and evaluation in applications related to the processes applied in the treatment of liquid waste (mainly anaerobic waste treatment)
  2. Optimize forecasting software after real-time application on an industrial scale unit.
  3. In-depth control of the system and construction of a commercial package to provide a complete solution to companies and users involved in the treatment and energy utilization of liquid industrial and agro-industrial waste



The project aims to use the knowledge and the results of a multiannual research activity of the leading members of the project’s development team for the implementation and provision of a comprehensive fire protection system for the effective protection of the environment and human life and property from fires. The deliverable system, named after the mythical hero Meleager, will incorporate a unique combination of innovative techniques, and information and communication technologies to implement a competitive product at international level.

Visit the project website

Download the project executive summary

Download the project leaflet

The project is co-funded by:



MITOS - SmartSantander

MITOS is an experimental research project under the umbrella of SmartSantander trying to deliver novel Intelligent Transportation Services (ITS) to smart city citizens and capture the perceived user experience. The fact that IoT (Internet of Things) infrastructure is available, provides new ways of quantifying the effect that ITS may have on the daily transportation of the commuters and the environment. 

The MITOS platform provides an integrated multi-modal transportation guide which will allow Santander citizens and visitors to optimally choose their trips and get accurate information and guidance before and during their trip. The guide will be available through mobile devices but also from the MITOS Geo-information portal. Additionally, MITOS uses gamification techniques in order to drive adoption and to reward user participation.

MITOS users will be able to access the following services:

  • Interactive maps featuring live transit information and points of interest
  • Transit line and point of interest search
  • A real-time public transportation routing guide
  • Finding the precise time the next bus will pass
  • A parking spot monitoring and prediction service

 More info:


The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) 




Busfinder is a system initially designed for the city of Athens, Greece, but it is applicable to any other city. Its goal is to provide a useful tool to commuters for calculating optimal routes and guiding them through a mobile application. Busfinder can be interfaced with any fleet management system that monitors the current position of buses and other public transport media. More information (in Greek) can be found at www.busfinder.gr.

Download the project leaflet (in Greek)

Project partners: Space HELLASAmco Advanced TechnologiesUniversity of Piraeus Research Centre

The project is co-funded by:


The outcome of the project is a location- and context-aware service for assisting consumers during their shopping time. The service uses a mobile web interface that accepts user requests through menu-driven, free text, and natural language. A semantic representation of both the user requests and the items offered for sale through the system facilitates efficient semantic searching and matching. The service was successfully evaluated in the city center of Athens.

You can visit the project's website here: http://www.shoppingmate.org/

Project Partners: Link Technologies, Fonella, NovasysNeos SistemiValtion Teknillinen Tutkimuskeskus, CSEMFraunhofer Institute for Open Communication SystemsThe Athens Development and Destination Management Agency.


The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) 



Grabel has succeeded in designing a reconfigurable antenna and antenna arrays based on GNSS requirements with beamforming functionality, holding strong promise for mass market GPS receivers. After considerable testing, viable applications and demonstrations have been implemented. One of them is accurate and reliable outdoor-indoor location-aware services.

You can visit the project's website here: http://grabel.eclexys.com/

Project partners: ECLEXYS, CSEMSaphyrion, Istituto di Radioastornomia - INAF / Radiotelescopio di Medicina, POLE STAR, Space HELLAS.

The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013)