V Analytics — self-sensitised system for analysing people’s traffic from cameras under restricted computing resources (Q122642): Difference between revisions
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(Removed claim: summary (P836): The aim of the research project is to develop an image analysis system that allows the detection and tracing of objects with limited computing power. The project will carry out industrial research and development to develop hybrid solutions allowing full use of deep neural networks for effective detection and tracking of sites in combination with minor computational algorithms. The system will also include an adaptation phase to the specificit...) |
(Created claim: summary (P836): The aim of the research project is to develop a system of image analysis allowing detection and tracking of objects with limited computing power. As part of the project, industrial research and development will be carried out to develop hybrid solutions allowing the full use of deep neural networks for effective detection and tracking of objects in combination with less complex classical algorithms. The system will also include a phase of adapta...) |
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The aim of the research project is to develop a system of image analysis allowing detection and tracking of objects with limited computing power. As part of the project, industrial research and development will be carried out to develop hybrid solutions allowing the full use of deep neural networks for effective detection and tracking of objects in combination with less complex classical algorithms. The system will also include a phase of adaptation to the specificities of a given location (automatic or semi-automatic). The project will result in a solution with unknown and non-worldly features (system V Analytics), a novelty on the target market. The implementation of the project will contribute to strengthening research competences in IOT System sp. z o.o. and will result in the creation of its own Research and Development Department in the company’s structure. (English) | |||||||||||||||
Property / summary: The aim of the research project is to develop a system of image analysis allowing detection and tracking of objects with limited computing power. As part of the project, industrial research and development will be carried out to develop hybrid solutions allowing the full use of deep neural networks for effective detection and tracking of objects in combination with less complex classical algorithms. The system will also include a phase of adaptation to the specificities of a given location (automatic or semi-automatic). The project will result in a solution with unknown and non-worldly features (system V Analytics), a novelty on the target market. The implementation of the project will contribute to strengthening research competences in IOT System sp. z o.o. and will result in the creation of its own Research and Development Department in the company’s structure. (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
Property / summary: The aim of the research project is to develop a system of image analysis allowing detection and tracking of objects with limited computing power. As part of the project, industrial research and development will be carried out to develop hybrid solutions allowing the full use of deep neural networks for effective detection and tracking of objects in combination with less complex classical algorithms. The system will also include a phase of adaptation to the specificities of a given location (automatic or semi-automatic). The project will result in a solution with unknown and non-worldly features (system V Analytics), a novelty on the target market. The implementation of the project will contribute to strengthening research competences in IOT System sp. z o.o. and will result in the creation of its own Research and Development Department in the company’s structure. (English) / qualifier | |||||||||||||||
point in time: 21 October 2020
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Revision as of 10:04, 21 October 2020
Project in Poland financed by DG Regio
Language | Label | Description | Also known as |
---|---|---|---|
English | V Analytics — self-sensitised system for analysing people’s traffic from cameras under restricted computing resources |
Project in Poland financed by DG Regio |
Statements
2,632,460.14 zloty
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3,688,296.76 zloty
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71.37 percent
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1 September 2019
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31 August 2021
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IOT SYSTEM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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Celem projektu badawczego jest opracowanie systemu analizy obrazu pozwalającego na detekcję i śledzenie obiektów przy ograniczonej mocy obliczeniowej. W ramach projektu przeprowadzone zostaną badania przemysłowe oraz prace rozwojowe mające na celu opracowanie rozwiązań hybrydowych pozwalających w pełni wykorzystać głębokie sieci neuronowe do skutecznej detekcji i śledzenia obiektów w połączeniu z mniej złożonymi obliczeniowo algorytmami klasycznymi. System będzie także zawierał w sobie fazę dostosowania się do specyfiki danej lokalizacji (automatyczną lub półautomatyczną). Rezultatem projektu będzie rozwiązanie o cechach nieznanych i niestosowanych w skali świata (system V Analytics), stanowiące nowość na rynku docelowym. Realizacja projektu przyczyni się do wzmocnienia kompetencji badawczych w IOT System sp. z o.o. i zaowocuje powstaniem w strukturze firmy własnego Działu Badawczo-Rozwojowego. (Polish)
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The aim of the research project is to develop a system of image analysis allowing detection and tracking of objects with limited computing power. As part of the project, industrial research and development will be carried out to develop hybrid solutions allowing the full use of deep neural networks for effective detection and tracking of objects in combination with less complex classical algorithms. The system will also include a phase of adaptation to the specificities of a given location (automatic or semi-automatic). The project will result in a solution with unknown and non-worldly features (system V Analytics), a novelty on the target market. The implementation of the project will contribute to strengthening research competences in IOT System sp. z o.o. and will result in the creation of its own Research and Development Department in the company’s structure. (English)
21 October 2020
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Identifiers
RPSL.01.02.00-24-0093/19
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