Cargando…
Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest
This work is devoted to a cost-effective method for the automatic placement of visual sensors within a smart room to ensure the requirements for its design. Various unique conditions make the process of manually placing sensors time consuming and can also lead to a decrease in system efficiency. To...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609636/ https://www.ncbi.nlm.nih.gov/pubmed/36298157 http://dx.doi.org/10.3390/s22207806 |
_version_ | 1784819070648975360 |
---|---|
author | Khutornoi, Iaroslav Kobyzhev, Aleksandr Vatamaniuk, Irina |
author_facet | Khutornoi, Iaroslav Kobyzhev, Aleksandr Vatamaniuk, Irina |
author_sort | Khutornoi, Iaroslav |
collection | PubMed |
description | This work is devoted to a cost-effective method for the automatic placement of visual sensors within a smart room to ensure the requirements for its design. Various unique conditions make the process of manually placing sensors time consuming and can also lead to a decrease in system efficiency. To automate the design process, we solve a multi-objective optimization problem known as the art gallery problem in 3D, modified as follows. For the specified regions of interest within a smart room, the required pixels per meter level (PPM) should be ensured. The optimization criteria are visibility of the room and the cost of equipment. To meet these criteria, we describe a room model with doors, windows, and obstacles represented in such a way as to consider their impact on the field of view of the sensors. To model sensor placement, a genetic algorithm is used. The optimal solution is selected from the Pareto front by means of the technique for order of preference by similarity to ideal solution (TOPSIS). The developed method’s effectiveness has been tested on modeling real premises of various types. The method is flexible because of the assignment of weights to certain aspects when placing sensors. Further, it can be scalable to other types of sensors. |
format | Online Article Text |
id | pubmed-9609636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96096362022-10-28 Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest Khutornoi, Iaroslav Kobyzhev, Aleksandr Vatamaniuk, Irina Sensors (Basel) Article This work is devoted to a cost-effective method for the automatic placement of visual sensors within a smart room to ensure the requirements for its design. Various unique conditions make the process of manually placing sensors time consuming and can also lead to a decrease in system efficiency. To automate the design process, we solve a multi-objective optimization problem known as the art gallery problem in 3D, modified as follows. For the specified regions of interest within a smart room, the required pixels per meter level (PPM) should be ensured. The optimization criteria are visibility of the room and the cost of equipment. To meet these criteria, we describe a room model with doors, windows, and obstacles represented in such a way as to consider their impact on the field of view of the sensors. To model sensor placement, a genetic algorithm is used. The optimal solution is selected from the Pareto front by means of the technique for order of preference by similarity to ideal solution (TOPSIS). The developed method’s effectiveness has been tested on modeling real premises of various types. The method is flexible because of the assignment of weights to certain aspects when placing sensors. Further, it can be scalable to other types of sensors. MDPI 2022-10-14 /pmc/articles/PMC9609636/ /pubmed/36298157 http://dx.doi.org/10.3390/s22207806 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khutornoi, Iaroslav Kobyzhev, Aleksandr Vatamaniuk, Irina Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title | Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title_full | Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title_fullStr | Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title_full_unstemmed | Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title_short | Automatic Placement of Visual Sensors in a Smart Space to Ensure Required PPM Level in Specified Regions of Interest |
title_sort | automatic placement of visual sensors in a smart space to ensure required ppm level in specified regions of interest |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609636/ https://www.ncbi.nlm.nih.gov/pubmed/36298157 http://dx.doi.org/10.3390/s22207806 |
work_keys_str_mv | AT khutornoiiaroslav automaticplacementofvisualsensorsinasmartspacetoensurerequiredppmlevelinspecifiedregionsofinterest AT kobyzhevaleksandr automaticplacementofvisualsensorsinasmartspacetoensurerequiredppmlevelinspecifiedregionsofinterest AT vatamaniukirina automaticplacementofvisualsensorsinasmartspacetoensurerequiredppmlevelinspecifiedregionsofinterest |