Experimental development on the development of an innovation prototype of an automatic non-sensor air pollutant analyser using modern artificial intelligence and machine learning techniques. (Q122677): Difference between revisions
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(Created claim: summary (P836): The project will consist of experimental development of a prototype development of a new product in the form of an automatic non-sensor air pollutant analyser. Research will focus on the use of state-of-the-art machine learning techniques (hereinafter referred to as ML) and artificial intelligence (AI) related to the analysis of the image: image object detection and image. The prototype developed in the course of the research will be used to ide...) |
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| Property / summary | |||
The project will consist of experimental development of a prototype development of a new product in the form of an automatic non-sensor air pollutant analyser. Research will focus on the use of state-of-the-art machine learning techniques (hereinafter referred to as ML) and artificial intelligence (AI) related to the analysis of the image: image object detection and image. The prototype developed in the course of the research will be used to identify and classify sources of air pollution automatically, paying particular attention to: Individual low emission sources associated with CO/CWUs powered fossil fuels — individual automotive exhaust emission sources (single vehicles) will be identified on the basis of static information (photo) or dynamic (camera video) from inspections in the immediate surroundings of the emission source. (English) | |||
| Property / summary: The project will consist of experimental development of a prototype development of a new product in the form of an automatic non-sensor air pollutant analyser. Research will focus on the use of state-of-the-art machine learning techniques (hereinafter referred to as ML) and artificial intelligence (AI) related to the analysis of the image: image object detection and image. The prototype developed in the course of the research will be used to identify and classify sources of air pollution automatically, paying particular attention to: Individual low emission sources associated with CO/CWUs powered fossil fuels — individual automotive exhaust emission sources (single vehicles) will be identified on the basis of static information (photo) or dynamic (camera video) from inspections in the immediate surroundings of the emission source. (English) / rank | |||
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Revision as of 09:54, 10 March 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Experimental development on the development of an innovation prototype of an automatic non-sensor air pollutant analyser using modern artificial intelligence and machine learning techniques. |
Project in Poland financed by DG Regio |
Statements
945,870.0 zloty
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1,727,910.24 zloty
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54.86 percent
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1 October 2019
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31 July 2020
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"PROINTEGRA" SPÓŁKA AKCYJNA
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Projekt będzie polegał na przeprowadzeniu eksperymentalnych prac rozwojowych nad opracowaniem prototypu nowego produktu w postaci automatycznego bezczujnikowego analizatora zanieczyszczeń powietrza. Prace badawcze będą ukierunkowane na wykorzystanie najnowszych technik uczenia maszynowego (dalej we Wniosku ML) oraz sztucznej inteligencji (AI) związanych z analizą obrazu: image object detection oraz image segmentation. Opracowany w trakcie prac badawczych prototyp będzie służyć do automatycznego rozpoznawania i klasyfikowania źródeł zanieczyszczenia powietrza, ze szczególnym uwzględnieniem: - indywidualnych źródeł niskiej emisji związanych z instalacjami grzewczymi CO/CWU zasilanymi paliwami kopalnymi - indywidualnych źródeł emisji spalin związanych z motoryzacją (pojedyncze pojazdy) Rozpoznawanie będzie wykonywane na bazie informacji statycznej (zdjęcie) lub dynamicznej (wideo z kamery), pochodzącej z inspekcji w bezpośrednim otoczeniu źródła emisji. (Polish)
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The project will consist of experimental development of a prototype development of a new product in the form of an automatic non-sensor air pollutant analyser. Research will focus on the use of state-of-the-art machine learning techniques (hereinafter referred to as ML) and artificial intelligence (AI) related to the analysis of the image: image object detection and image. The prototype developed in the course of the research will be used to identify and classify sources of air pollution automatically, paying particular attention to: Individual low emission sources associated with CO/CWUs powered fossil fuels — individual automotive exhaust emission sources (single vehicles) will be identified on the basis of static information (photo) or dynamic (camera video) from inspections in the immediate surroundings of the emission source. (English)
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Identifiers
RPSL.01.02.00-24-00F8/19
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