Cloud-based lighting system for smart cities - Project - MOST Wiedzy


Cloud-based lighting system for smart cities

The aim of the project is a definition of novel multimodal system for intelligent lamps, providing functions of Internet of Things, integrated with a cloud computing service. The system will be proposed, built and evaluated. Optimal methods of environmental data acquisition from sensors and monitoring cameras will be developed and evaluated. Cloud and fog computing technologies will be applied for efficient data postprocessing, fusion and decision making. As a result the lighting conditions will be continuously monitored, and light emitting elements (LEDs, mirrors, lenses) optimally adjusted to provide required light temperature, intensity, directional characteristics. Project partners will build and examine hardware and communication layers, and Politechnika Gdanska will focus on data analysis layer: acquisition, pre-processing, synchronization, computations in cloud and fog architectures, decision making. PG will as well conduct a research on influence of light parameters on human. That will include ability of a driver to recognise objects on the road, reflex and reactions, well-being, and circadian rhythm. Algorithms of data processing and inference will form a set of basic services, combined into complex services by defining decision rules. All functions will be provided to an end user as a service: predefined applications and building blocks to facilitate creation of own solutions for smart city. Integration with external data sources is planned, including infrastructure of smart city and connected cars by a V2X (vehicle-to-everything) protocol. As a side result, the PG team will increase its competence in key technologies such as Internet of Things, programming of distributed applications, data analysis, fusion, and decision making.


Project's acronym:
Project's funding:
Program Operacyjny Inteligentny Rozwój
POIR.04.01.04-00-0075/19 z dnia 2019-09-24
Realisation period:
2020-04-01 - 2023-06-29
Project manager:
dr hab. inż. Piotr Szczuko
Team members:
Realised in:
Department of Multimedia Systems
External institutions
participating in project:
  • Reva-Siled Sp. z o.o. (Poland)
  • Siled Sp. z o.o,. (Poland)
Project's value:
7 134 301.47 PLN
Request type:
Domestic project
Verified by:
Gdańsk University of Technology


total: 1

  • Category

  • Year

  • Options

Catalog Projects


  • Toward Robust Pedestrian Detection With Data Augmentation

    In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

    Full text available

seen 1802 times