Internet of Things

  • ASSET: People Kounter

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    People Kounter is one of CSP technology asset. counts the number of people who pass a certain point or gateway, using the Kinect sensor and images produced by a camera positioned above, perpendicular to the ground. The algorithm generated is capable of counting the people entering and leaving an area with a high degree of precision, and excluding other objects. Ideal for indoor settings, it is also capable of correctly interpreting crowded situations.

    Download People Kounter information sheet.

  • IoTNet

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    CSP has developed skills and experience of all the components of the Internet of Things system: from the data source (sensors) to the storage , transmission (telecommunications and broadcasting techniques),   data validation ( based on statistics  and processing of heterogeneous data ), to  platforms for query and data visualization, to specific use of data in reference to particular user needs, to storage and management of large databanks (through distributed DB and NoSQL solutions).

    The IoTNet project aims to build a complete system, in which the data collection by distributed sensors (including webcam) is managed through acquisition platforms, autonomous and distributed, placed in strategic locations in the Piedmont area. Moreover, an access and streaming portal enables an  aggregated view of data and to access the webcam live streams.

    Download IotNet platform datasheet.

  • SALVEREMO – Automatic localization system for dispersed people in mountain remote areas

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    SALVEREMO is an applied research project aimed at developing an innovative system for mountain search and rescue of people lost in rugged and mountainous terrain or in rural areas. The rescue operations are based on the use of small UAV, equipped with devices and sensors, answering the needs of all the emergency chain players, from the civil protection, to the mountaing rescue department.

    SALVEREMO boosts different vertical competences in order to dramatically reduce the search times of lostpeople in areas where morphological features are critical. It provides the civil protection players with decision support, chances to reduce workload and operational costs.

    Thanks to the sensors and TLC component miniaturization on board as UAV payload and to the autonomous action capability in inaccessible areas, the SALVEREMO system increases the rescue operation efficiency.

    The project partners are BEA SRL (Capofila), aerRobotix, commitWORLD, CSP, Politecnico di Torino. SALVEREMO is funded through EU-Regional Funds, within MESAP, the Piemonte Innovation Pole on mechatronics and advanced production system.

  • LIMPID-Live Inducement of Multimodality by Promoting the Internet of Data

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    LIMPID aims to apply the IOT paradigm in the transport domain. In order to monitor traffic, and other parameters, it will use data derived from the public transport users and from infrastructure elements. The collected data will power a DSS enabled to monitor the state of traffic and provide decision support to the PA. An app will extract info from these data and provide forecasting and predictive values on traffic flows, use of public transport, availability of parking, useful both to users and to the PA. The collected data will merge on the regional platform Smartdatanet.

    The technological aspects will be tested in a Living Lab including vehicles, electric bikes and a UAV equipped with a videocamera.

  • Traffic counter

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    Traffic Counter is a software that provides an estimate of traffic flow and density on selected stretches of road, using automatic algorithms to process video images from normal webcams or cameras present in urban and rural areas. The system uses optical flow techniques capable of making a precise estimate of the number of vehicles and referencing these figures to the traffic flow model automatically generated.

    Download Traffic Counter information sheet.

  • Meteo2850: the Ciardoney glacier

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    Internet and advanced services in the high mountains are one of the main CSP’s research domains.
    The METEO2850 project, running at 2850 mt above s.l. at the Ciardoney Glacier in the Parco Nazionale del Gran Paradiso.

    Thanks  to the HPWNET experimental network broadband, the weather control stations, powered by a co-generation system, transmit daily data about the glacier environmental conditions of the. METEO2850 project provides access to meteorological data and images through a live webcam.

    Meteo2850 is part of the long-term cooperation CSP has with Nimbus, the Società Meteorologica Italiana and with IREN S.p.A.

    See the live webcam at http://nimbus.csp.it and the time-lapse video, that synthesizes one year of images on the Ciardoney Glacier .

  • PITAGORA – Interoperable Platform for gathering, management and organization of environmental data

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    PITAGORA is based on the paradigm of ILBM (Integrated Lake Basin Management) and embeds the Living Lab model for the participatory environmental monitoring of the lake basins in the Lake Maggiore area. A special focus is on the Orta Lake in the Northern Piedmont.

    PITAGORA proposes an innovative lake basin management model, thanks to an integrated system of measurement-acquisition-transmission-use of data, which integrates a real time ILBM, based on the paradigm of the Internet of Things. A network of sensors distributed on floating buoys make possible accurate measurements and real-time monitoring of environmental data meteo-hydrological phenomena, of hydrological, chemical and biological processes. These are integrated with other economic and quality of life data from the local inhabitants, actively involved in the project within the Living Lab. The collected data are sent to the regional IOT platform Smart Data Platform through ultra-wideband wireless via the local experimental network HPWNet.

    An app for wearable devices enables the users to interact through a smartwatch with the data coming from the sensors on the field.

  • Viniveri: technological innovation in the vineyard

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    In the innovation in the agro-food sector, agriculture is approaching ICT,  both in terms of agronomic management and in terms of phytopathological research.

    In particular,  ICT has a large impact on the data  collection, transmission , gathering  and the use of digital platforms for the exchange of agro-meteorological, eco- physiological, epidemiological, irrigation and farm management data. The focus is the grapevine susceptibility to some pathogens with severe consequences for the vegetative growth  and the wine production, such as downy mildew,  powdery mildew and botrytis bunch rot.

    The project aims to respond to the monitoring need through a hardware and software system which allows the advanced management of the vineyard. Web platforms, wireless technology, measuring sensors and position detectors of agricultural tractors complement each other to offer climatological information in real time.

    The project was a pilot sponsored by the Piemonte Regional Government and several partners were involved.

    Download the info sheet “CSP in precision farming” for further details.

  • SIGEVI: management and DSS of the vineyard supply-chain

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    Growing processes are conditioned by environmental factors such as temperature, solar
    radiation, humidity and rain. Thermic conditions are strictly involved in all physiological
    processes affecting phenological and physiological development. Climate and the vineyard management determine quality and quantity of the final product and guide strategies and behaviour of the farmer.
    In this context, identifying a stable correlation between climate conditions, plants growing and production quality allow the development of automatic systems for vineyard management.

    SIGEVI project develops, tests and implements innovative DSS – Decision support systems – starting from data collection (historical, from remote sensor networks, from the farmer using mobile systems), data elaboration and a user friendly feed-back – to support everyday decisions about vineyard management (irrigation, pruning, harvesting, productivity evaluations, phyto-pathologies defense strategies…).

  • Touchwall

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    Touchwall is a software application for large multitouch surfaces designed to carry out a biometric analysis of movements and assess the physical performance of athletes. A series of specific exercises is used to measures the rapport between the subject’s movements, gestures and speed. The database stores the results, mapping progress and lapses and giving the health care professional an accurate picture of the patient’s health, saving the data in a sort of “digital medical record”.