The development of an automated analytical platform for the management of the forests based on image data from photogrammetrical cameras and a “multi-spectral” laser scan. (Q130090): Difference between revisions
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(Removed claim: summary (P836): The aim of the project is to carry out research (industrial research and experimental development) in order to develop an innovative technology for the full use of the most modern multispectral aviation market in the global aviation market. The project will develop an IT-based analytical platform for support of the vegetation management process based on image data from photogrammetrical cameras and a “multi-spectral” (LIDAR) cloud. Ultimately,...) |
(Created claim: summary (P836): The subject of the project is the implementation of research (industrial research and experimental development work) aimed at developing innovative technology enabling the full use of the most modern mutli spectral scanners in the world market. The project will develop a self-learning IT analytical platform supporting the vegetation management process based on image data from photogrammetric cameras and a cloud of points of multi-spectral laser...) |
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The subject of the project is the implementation of research (industrial research and experimental development work) aimed at developing innovative technology enabling the full use of the most modern mutli spectral scanners in the world market. The project will develop a self-learning IT analytical platform supporting the vegetation management process based on image data from photogrammetric cameras and a cloud of points of multi-spectral laser scanner (LIDAR). Ultimately, the platform will be implemented in a cloud environment operated by OPEGIEKA Sp. z o.o.. Thanks to this, users will be able to use advanced algorithms for processing and extraction of information from the point cloud for their own work related to both analysis and inventory of vegetation and obtaining other data on objects on the ground. The location of the project is the Applicant’s plant located in Elbląg near al. Millennium 11 (Z. No. 45/38 and 104 within registration no. 21). The project will be implemented in the period 01.01.2018-31.12.2020. The project fits into the assumptions set out in the SzOOP RPO WiM 2014-2020 due to the focus on the development of research processes in SMEs in order to diffuse their results to the economy of the region. The project will increase the company’s innovation in the areas of smart specialisation (Wood and Furniture and Water Economy) thanks to its R & D activities, which directly implements thematic objective no. 1 of the cohesion policy: “Strengthening research, technological development and innovation”. (English) | |||||||||||||||
| Property / summary: The subject of the project is the implementation of research (industrial research and experimental development work) aimed at developing innovative technology enabling the full use of the most modern mutli spectral scanners in the world market. The project will develop a self-learning IT analytical platform supporting the vegetation management process based on image data from photogrammetric cameras and a cloud of points of multi-spectral laser scanner (LIDAR). Ultimately, the platform will be implemented in a cloud environment operated by OPEGIEKA Sp. z o.o.. Thanks to this, users will be able to use advanced algorithms for processing and extraction of information from the point cloud for their own work related to both analysis and inventory of vegetation and obtaining other data on objects on the ground. The location of the project is the Applicant’s plant located in Elbląg near al. Millennium 11 (Z. No. 45/38 and 104 within registration no. 21). The project will be implemented in the period 01.01.2018-31.12.2020. The project fits into the assumptions set out in the SzOOP RPO WiM 2014-2020 due to the focus on the development of research processes in SMEs in order to diffuse their results to the economy of the region. The project will increase the company’s innovation in the areas of smart specialisation (Wood and Furniture and Water Economy) thanks to its R & D activities, which directly implements thematic objective no. 1 of the cohesion policy: “Strengthening research, technological development and innovation”. (English) / rank | |||||||||||||||
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| Property / summary: The subject of the project is the implementation of research (industrial research and experimental development work) aimed at developing innovative technology enabling the full use of the most modern mutli spectral scanners in the world market. The project will develop a self-learning IT analytical platform supporting the vegetation management process based on image data from photogrammetric cameras and a cloud of points of multi-spectral laser scanner (LIDAR). Ultimately, the platform will be implemented in a cloud environment operated by OPEGIEKA Sp. z o.o.. Thanks to this, users will be able to use advanced algorithms for processing and extraction of information from the point cloud for their own work related to both analysis and inventory of vegetation and obtaining other data on objects on the ground. The location of the project is the Applicant’s plant located in Elbląg near al. Millennium 11 (Z. No. 45/38 and 104 within registration no. 21). The project will be implemented in the period 01.01.2018-31.12.2020. The project fits into the assumptions set out in the SzOOP RPO WiM 2014-2020 due to the focus on the development of research processes in SMEs in order to diffuse their results to the economy of the region. The project will increase the company’s innovation in the areas of smart specialisation (Wood and Furniture and Water Economy) thanks to its R & D activities, which directly implements thematic objective no. 1 of the cohesion policy: “Strengthening research, technological development and innovation”. (English) / qualifier | |||||||||||||||
point in time: 21 October 2020
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Revision as of 12:33, 21 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The development of an automated analytical platform for the management of the forests based on image data from photogrammetrical cameras and a “multi-spectral” laser scan. |
Project in Poland financed by DG Regio |
Statements
1,596,340.75 zloty
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2,768,500.0 zloty
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57.66 percent
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1 January 2018
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31 December 2020
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OPEGIEKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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Przedmiotem projektu jest realizacja prac badawczych (badań przemysłowych oraz eksperymentalnych prac rozwojowych) mających na celu opracowanie nowatorskiej technologii umożliwiającej pełne wykorzystanie najnowocześniejszych na światowym rynku lotniczych skanerów mutli-spektralnych. W ramach projektu opracowana zostanie samoucząca się informatyczna platforma analityczna wspomagająca proces zarządzania roślinnością w oparciu o dane obrazowe z kamer fotogrametrycznych oraz chmury punktów multi-spektralnego skanera laserowego (LIDAR). Docelowo platforma zostanie zaimplementowana w środowisku chmurowym operowanym przez firmę OPEGIEKA Sp. z o.o. Dzięki temu użytkownicy będą mogli wykorzystać zaawansowane algorytmy przetwarzania i ekstrakcji informacji z chmury punktów do własnych prac związanych zarówno z analizą i inwentaryzacją roślinności, jak i pozyskiwaniem innych danych o obiektach na powierzchni ziemi. Miejscem realizacji projektu jest zakład Wnioskodawcy zlokalizowany w Elblągu przy al. Tysiąclecia 11 (dz. nr 45/38 i 104 w obrębie ewidencyjnym nr 21). Przedsięwzięcie realizowane będzie w okresie 01.01.2018-31.12.2020 r. Projekt wpisuje się w założenia określone w SzOOP RPO WiM 2014-2020 z uwagi na ukierunkowanie na rozwój procesów badawczych w MSP celem dyfuzji ich rezultatów do gospodarki regionu. Projekt pozwoli na wzrost innowacyjności firmy w obszarach inteligentnych specjalizacji (Drewno i meblarstwo oraz Ekonomia wody) dzięki działalności badawczo-rozwojowej, czym wprost realizuje Cel tematyczny nr 1 polityki spójności: „Wzmacnianie badań naukowych, rozwoju technologicznego i innowacji”. (Polish)
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The subject of the project is the implementation of research (industrial research and experimental development work) aimed at developing innovative technology enabling the full use of the most modern mutli spectral scanners in the world market. The project will develop a self-learning IT analytical platform supporting the vegetation management process based on image data from photogrammetric cameras and a cloud of points of multi-spectral laser scanner (LIDAR). Ultimately, the platform will be implemented in a cloud environment operated by OPEGIEKA Sp. z o.o.. Thanks to this, users will be able to use advanced algorithms for processing and extraction of information from the point cloud for their own work related to both analysis and inventory of vegetation and obtaining other data on objects on the ground. The location of the project is the Applicant’s plant located in Elbląg near al. Millennium 11 (Z. No. 45/38 and 104 within registration no. 21). The project will be implemented in the period 01.01.2018-31.12.2020. The project fits into the assumptions set out in the SzOOP RPO WiM 2014-2020 due to the focus on the development of research processes in SMEs in order to diffuse their results to the economy of the region. The project will increase the company’s innovation in the areas of smart specialisation (Wood and Furniture and Water Economy) thanks to its R & D activities, which directly implements thematic objective no. 1 of the cohesion policy: “Strengthening research, technological development and innovation”. (English)
21 October 2020
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Identifiers
RPWM.01.02.01-28-0012/16
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