Open AccessTowards Collection of Smart City Data for Cloud Storage Using UAVs
Author(s) -
Ilia Ageev,
Wolfram Hardt
Publication year - 2021
Publication title -
embedded selforganising systems
Language(s) - English
Resource type - Journals
ISSN - 1869-5213
DOI - 10.14464/ess.v8i1.478
Subject(s) - drone , data collection , computer science , cloud computing , process (computing) , computer data storage , smart city , real time computing , tracking (education) , database , computer security , internet of things , operating system , pedagogy , statistics , genetics , mathematics , biology , psychology
The article describes the methodology and process of collecting smart city data using drones for cities that do not have a sufficiently developed infrastructure. For storage and subsequent analysis of data, a cloud server is required; TUC DriveCloud is presented as an example of such a server in the article. Traffic analysis and building inspection are described as examples of drone data collection tasks. The advantages and disadvantages of collecting data using a thermal imaging camera are also discussed using the example of the problem of detecting and tracking the movement of people.