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SISTEMATICA

SISTEMATICA SPA
Country: Italy
6 Projects, page 1 of 2
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 687409
    Overall Budget: 1,284,070 EURFunder Contribution: 935,973 EUR
    Partners: TOPVIEW SRL, Deep Blue (Italy), ALPHA UK, AU, SISTEMATICA, Entec Spa, AAU

    EGNSS high Accuracy SYstem improving PhotoVoltaic plants maintenance. The purpose of the EASY PV proposal is to provide a time and cost effective service as direct response to the growing need expressed by several maintainers and PV field owners to enhance the energy production of their plants. As photovoltaic plants are aging, it is not uncommon that their production lowers due to inefficiency caused by unknown modules on the plant lowering the whole plant’s productivity. Thermal inspections are valuable for PV owners and maintainers, but relevant procedures (currently performed by operators with handheld cameras) are time demanding and sometimes expensive due to safety costs for the personnel involved in the operations (e.g.: PV modules on roofs, rough areas, …). It stands to reason that today such operations are not fully automated yet and the responsive recognition of a broken module might result very difficult in a large PV plant. As a first improved solution, the growing technology of RPAS (Remotely Piloted Aircraft Systems) is exploited to gather thermic images which are geo-referenced by GPS positioning and processed by computer vision algorithms. However this configuration is very respectful but still not enough in order to provide the required positioning accuracy for the automation and fast identification of the broken modules. Only the aid of accurate positioning allows a cost effective solution to reduce time, costs and risks for personnel involved: the added value provided by the employment of GNSS high accuracy solutions as novelty in the RPAS domain is the key driver for the EASY PV turnkey solution. Finally EASY PV solution is conceived to build up an automatic system for acquiring, georeferencing and processing both visible and thermal images captured by an RPAS equipped with a Galileo/EGNOS high accuracy receiver, flying over a photovoltaic field. In this way it is possible to easily detect the defective modules to be replaced.

  • Funder: EC Project Code: 263268
    Partners: UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA, TELESPAZIO VEGA UK LIMITED, D'Appolonia (Italy), SISTEMATICA, DEIMOS, TASITALIA, UPC
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 776099
    Overall Budget: 1,942,330 EURFunder Contribution: 1,455,580 EUR
    Partners: BUSINESS INTEGRATION PARTNERS BELGIUM, UNIFI, EURODEV BV, AU, SISTEMATICA, POLITECHNIKA MORSKA W SZCZECINIE, TOPVIEW SRL

    SARA: Search and Rescue Aid using High Accuracy EGNSS The purpose of the SARA project is to engineer and to start to commercialise a dedicated solution, based on an already existing prototype, to be used for Search and Rescue (SAR) and Surveillance purposes (primary market). The need for such a solution comes in particular from the institutional market (but it is not limited to) requesting a technological support to manage migration flux aspects, with particular attention to crisis in the Mediterranean Sea: Europe needs to balances efforts to assist people in need with efforts to secure its borders. On the basis of the above scenario, the industrial composition of the SARA consortium has been contacted by Italian Coast Guard two years ago in order to provide a technological contribution supporting vessels to detect people lost in the sea, especially during the hours of darkness. According to the above request, SARA solution is conceived to build up a semi-automatic system using Earth Observation data to preliminary detect suspect pontoons’ trajectories (Surveillance) and supporting SAR operations based upon a deployable RPAS (Remotely Piloted Aircraft System) which is tightly coupled with a ship architecture through a cable (tethered flight): as soon as its function is needed, the aircraft flies from its home (a dedicated hangar on the top of the ship), and becomes a “virtual pylon” which elevates a VIS-TIR sensor (Visual Spectrum and Thermal Infrared); captured images are processed in real time by a local computer. Both RPAS and hangar are equipped with 2 high accuracy EGNSS receivers (i.e. Galileo ready) in order to provide the relative positioning between the hangar and the RPAS hovering on the target. On this context, EGNSS represents an essential technology ensuring autonomous operations in a reliable manner guaranteeing provision of distance and bearing from ship to survivors and the protection of the extensible cable against mechanical stress.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101004234
    Overall Budget: 3,686,220 EURFunder Contribution: 2,868,240 EUR
    Partners: EURECAT, G7 INTERNATIONAL SRL, GMV, APRA, BERGMANN FRANK, DLR, 3D Systems (Belgium), TOPVIEW SRL, alcina, DIGI ONE SRL...

    The purpose of the PASSport (Operational Platform managing a fleet of semi-autonomous drones exploiting GNSS high Accuracy and Authentication to improve Security & Safety in port areas) is to engineer and qualify a solution extending situational awareness based on aerial fixed/ rotary wing and underwater drones to improve safety and security in port areas. The need stems from the directive 2005/65/CE asking to complement surveillance systems for the whole port area, in order to significantly improve security and safety for daily operations implanted in port area. This result also in saving citizen lives ensuring a high and equal level of safety and security for all European ports. Around one thousand European ports fall within the scope of the directive. As a consequence, PASSport responds to the needs expressed by port authorities, harbour master and border control authorities which are active parties in the consortium and will be directly involved in the definition of the proposed solutions. The proposed solution is intended to complement already operational platforms by extending the surveillance perimeter using a fleet of drones to provide innovation and operational support to the recognition, management and analysis of safety and security aspects of daily operations with particular attention to: Pollution monitoring (safety) Support to e-navigation (safety) Critical buildings/ Infrastructures protection (security) Protection against non-cooperative small craft approaching the port areas (security) Underwater threats monitoring (security) The project is expected to activate commercialisation channels based on the novelty represented by the usage of a fleet of semi-automated drones integrating Galileo services (and other sensors) for a safe and efficient guidance, navigation and control (GNC) even in a challenging environment in presence of obstacles - including buildings and other ground assets - and potentially unfavourable weather conditions.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 780754
    Overall Budget: 4,848,010 EURFunder Contribution: 4,848,010 EUR
    Partners: Inlecom Systems (United Kingdom), CNR, PRES, UPMC, Hasselt University, FHG, CML, UZH, VODAFONE INNOVUS SA, OCTO TELEMATICS SPA...

    Track&Know will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors. Stemming from industrial cases, Track&Know will develop user friendly toolboxes that will be readily applicable in the addressed markets, and will be also investigated in additional domains through liaison activities with running ICT-15 Lighthouse projects. Track&Know integrates multidisciplinary research teams from Mobility Data management, Complex Event Recognition, Geospatial Modelling, Complex Network Analysis, Transportation Engineering and Visual Analytics to develop new models and applications. Track&Know recognizes that Big Data penetration is not adequately developed in niche markets outside the traditional verticals (e.g. Finance) and so the Track&Know Toolboxes will be demonstrated in three real-world Pilots using datasets from niche market scenarios to validate efficiency improvements. Performance and impact benchmarks are elaborated and will be documented during pilots deployment. The Track&Know consortium is composed by complementary partners, coming from addressed research, technological and commercial domains, that have a proven track record of high quality research capacity. Thus, the carefully structured workplan, embodies a holistic approach towards meeting the Track&Know objectives and delivering market-relevant outcomes of significant exploitation potential.