Q2687889 (Q2687889): Difference between revisions

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(‎Created claim: summary (P836): SA 42799(2015/X) The project will implement a technologically advanced sensor platform providing synchronous data from many points of view of so-called diagonal photos and aerial laser scanning. A unique analytical platform will also be developed worldwide to make full use of advanced aeronautical sensors and the latest developments in artificial intelligence and big data processing. The new solution will be the culmination of research and devel...)
Property / summary
 
SA 42799(2015/X) The project will implement a technologically advanced sensor platform providing synchronous data from many points of view of so-called diagonal photos and aerial laser scanning. A unique analytical platform will also be developed worldwide to make full use of advanced aeronautical sensors and the latest developments in artificial intelligence and big data processing. The new solution will be the culmination of research and development work carried out by CBR OPEGIEKA employees and commissioned scientists at the Department of Photogrammetry, Remote Sensing and SIP, Faculty of Geodesy and Cartography of the Warsaw University of Technology, devoted to the use of deep learning in the processing and analysis of data obtained synchronously taken diagonal photographs and aerial laser scanning. Material scope of the project: Purchase of a hybrid aerospace sensor kit consisting of a multi-objective aerial camera and a laser scanner. Purchase of ICT infrastructure and software – network switches, fiber optic connectors, systems for the transfer and protection of data from a hybrid sensor and software sets necessary for the development of the cloud ecosystem developed by OPEGIEKA Sp. z o.o. The project in the investment phase will last 9 months. The result will address the key problem of data acquisition and processing for urban agglomerations and contribute to the application of the 4R principle in geoinformation services. The project fits into the main objective of the POIR and implements the theme: from the idea to the market. (English)
Property / summary: SA 42799(2015/X) The project will implement a technologically advanced sensor platform providing synchronous data from many points of view of so-called diagonal photos and aerial laser scanning. A unique analytical platform will also be developed worldwide to make full use of advanced aeronautical sensors and the latest developments in artificial intelligence and big data processing. The new solution will be the culmination of research and development work carried out by CBR OPEGIEKA employees and commissioned scientists at the Department of Photogrammetry, Remote Sensing and SIP, Faculty of Geodesy and Cartography of the Warsaw University of Technology, devoted to the use of deep learning in the processing and analysis of data obtained synchronously taken diagonal photographs and aerial laser scanning. Material scope of the project: Purchase of a hybrid aerospace sensor kit consisting of a multi-objective aerial camera and a laser scanner. Purchase of ICT infrastructure and software – network switches, fiber optic connectors, systems for the transfer and protection of data from a hybrid sensor and software sets necessary for the development of the cloud ecosystem developed by OPEGIEKA Sp. z o.o. The project in the investment phase will last 9 months. The result will address the key problem of data acquisition and processing for urban agglomerations and contribute to the application of the 4R principle in geoinformation services. The project fits into the main objective of the POIR and implements the theme: from the idea to the market. (English) / rank
 
Normal rank
Property / summary: SA 42799(2015/X) The project will implement a technologically advanced sensor platform providing synchronous data from many points of view of so-called diagonal photos and aerial laser scanning. A unique analytical platform will also be developed worldwide to make full use of advanced aeronautical sensors and the latest developments in artificial intelligence and big data processing. The new solution will be the culmination of research and development work carried out by CBR OPEGIEKA employees and commissioned scientists at the Department of Photogrammetry, Remote Sensing and SIP, Faculty of Geodesy and Cartography of the Warsaw University of Technology, devoted to the use of deep learning in the processing and analysis of data obtained synchronously taken diagonal photographs and aerial laser scanning. Material scope of the project: Purchase of a hybrid aerospace sensor kit consisting of a multi-objective aerial camera and a laser scanner. Purchase of ICT infrastructure and software – network switches, fiber optic connectors, systems for the transfer and protection of data from a hybrid sensor and software sets necessary for the development of the cloud ecosystem developed by OPEGIEKA Sp. z o.o. The project in the investment phase will last 9 months. The result will address the key problem of data acquisition and processing for urban agglomerations and contribute to the application of the 4R principle in geoinformation services. The project fits into the main objective of the POIR and implements the theme: from the idea to the market. (English) / qualifier
 
point in time: 7 July 2021
Timestamp+2021-07-07T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0

Revision as of 14:04, 7 July 2021

Project Q2687889 in Poland
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Project Q2687889 in Poland

    Statements

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    5,460,000.0 zloty
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    1,213,758.0 Euro
    0.2223 Euro
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    9,100,000.0 zloty
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    2,022,930.0 Euro
    0.2223 Euro
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    60.0 percent
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    1 August 2020
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    30 April 2021
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    OPEGIEKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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    54°11'56.0"N, 19°26'28.0"E
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    SA 42799(2015/X) W ramach projektu wdrożona zostanie zaawansowana technologicznie platforma sensorowa dostarczająca synchroniczne dane z wielu punktów widzenia tzw. zdjęć ukośnych oraz lotniczego skaningu laserowego. Rozbudowana zostanie również unikatowa w skali świata platforma analityczna umożliwiające pełne wykorzystanie zaawansowanych sensorów lotniczych oraz najnowszych osiągnięć w zakresie sztucznej inteligencji i przetwarzania wielkich zbiorów danych. Nowe rozwiązanie będzie uwieńczeniem prac badawczych i rozwojowych realizowanych przez pracowników CBR OPEGIEKA oraz zleconych naukowcom Zakładu Fotogrametrii, Teledetekcji i SIP, Wydziału Geodezji i Kartografii Politechniki Warszawskiej, poświęconych wykorzystaniu głębokiego uczenia maszynowego (ang. deep learning) w przetwarzaniu i analizie danych, pozyskanych synchronicznie wykonanych zdjęć ukośnych oraz lotniczego skaningu laserowego. Zakres rzeczowy projektu: Zakup zestawu hybrydowego sensora lotniczego składającego się z wielo-obiektywowej kamery lotniczej oraz skanera laserowego. Zakup infrastruktury teleinformatycznej i oprogramowania – przełączników sieciowych,przyłączy światłowodowych, systemów do transferu i zabezpieczenia danych z sensora hybrydowego oraz zestawów oprogramowania, niezbędnych do rozbudowy opracowanego przez OPEGIEKA Sp. z o.o. ekosystemu chmurowego. Projekt w fazie inwestycyjnej trwać będzie 9 miesięcy. Rezultat umożliwi rozwiązanie kluczowego problemu pozyskiwania i przetwarzania danych dla aglomeracji miejskich i przyczyni się do zastosowania zasady 4R w ramach usług geoinformacyjnych. Projekt wpisuje się w cel główny POIR i realizuje hasło przewodnie: „od pomysłu do rynku". (Polish)
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    SA 42799(2015/X) The project will implement a technologically advanced sensor platform providing synchronous data from many points of view of so-called diagonal photos and aerial laser scanning. A unique analytical platform will also be developed worldwide to make full use of advanced aeronautical sensors and the latest developments in artificial intelligence and big data processing. The new solution will be the culmination of research and development work carried out by CBR OPEGIEKA employees and commissioned scientists at the Department of Photogrammetry, Remote Sensing and SIP, Faculty of Geodesy and Cartography of the Warsaw University of Technology, devoted to the use of deep learning in the processing and analysis of data obtained synchronously taken diagonal photographs and aerial laser scanning. Material scope of the project: Purchase of a hybrid aerospace sensor kit consisting of a multi-objective aerial camera and a laser scanner. Purchase of ICT infrastructure and software – network switches, fiber optic connectors, systems for the transfer and protection of data from a hybrid sensor and software sets necessary for the development of the cloud ecosystem developed by OPEGIEKA Sp. z o.o. The project in the investment phase will last 9 months. The result will address the key problem of data acquisition and processing for urban agglomerations and contribute to the application of the 4R principle in geoinformation services. The project fits into the main objective of the POIR and implements the theme: from the idea to the market. (English)
    7 July 2021
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    Identifiers

    POIR.03.02.01-28-0015/20
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