Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Many modern vehicles today are equipped with an on-board e-call system that can send information about the number of passengers in the event of an accident. However, in case of fire or other major danger in a road tunnel, it is very important for rescue services to know not only the number of passen...

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Autores principales:	Pavol Kuchár, Rastislav Pirník, Tomáš Tichý, Karol Rástočný, Michal Skuba, Tamás Tettamanti
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	traffic safety safe passenger detection digital image processing computer vision tunnel data analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/10b5d25333e244e9a690c4ed8b51b16a
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id	oai:doaj.org-article:10b5d25333e244e9a690c4ed8b51b16a
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spelling	oai:doaj.org-article:10b5d25333e244e9a690c4ed8b51b16a2021-11-25T19:05:33ZNoninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras10.3390/su1322129282071-1050https://doaj.org/article/10b5d25333e244e9a690c4ed8b51b16a2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12928https://doaj.org/toc/2071-1050Many modern vehicles today are equipped with an on-board e-call system that can send information about the number of passengers in the event of an accident. However, in case of fire or other major danger in a road tunnel, it is very important for rescue services to know not only the number of passengers in a given vehicle that has an accident and called help via e-call but how many people are in the tunnel in total. This paper deals with the issue of passenger detection and counting using the TPH3008-S Thermal camera and the VIVOTEK IP7361 IP Cameras noninvasively, i.e., the cameras are placed outside the vehicle. These cameras have their limitations; therefore, we investigated how to improve conditions and how to make detection better for future work. The main goal of this article is to summarize the achieved results and possibilities of improvement of the proposed system by adding other sensors and systems that would improve the final score of passenger detection. The experimental results demonstrate that our approach has to be modified and we have to add additional sensors or change methods to achieve more promising results. The results, findings and conclusions might be later used in tunnels and highways and also be applied in telematics and lead to better, safer road transport and improvement of existing tunnel systems sustainability by utilizing resources in a smarter way.Pavol KuchárRastislav PirníkTomáš TichýKarol RástočnýMichal SkubaTamás TettamantiMDPI AGarticletraffic safetysafe passenger detectiondigital image processingcomputer visiontunneldata analysisEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12928, p 12928 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	traffic safety safe passenger detection digital image processing computer vision tunnel data analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	traffic safety safe passenger detection digital image processing computer vision tunnel data analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Pavol Kuchár Rastislav Pirník Tomáš Tichý Karol Rástočný Michal Skuba Tamás Tettamanti Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
description	Many modern vehicles today are equipped with an on-board e-call system that can send information about the number of passengers in the event of an accident. However, in case of fire or other major danger in a road tunnel, it is very important for rescue services to know not only the number of passengers in a given vehicle that has an accident and called help via e-call but how many people are in the tunnel in total. This paper deals with the issue of passenger detection and counting using the TPH3008-S Thermal camera and the VIVOTEK IP7361 IP Cameras noninvasively, i.e., the cameras are placed outside the vehicle. These cameras have their limitations; therefore, we investigated how to improve conditions and how to make detection better for future work. The main goal of this article is to summarize the achieved results and possibilities of improvement of the proposed system by adding other sensors and systems that would improve the final score of passenger detection. The experimental results demonstrate that our approach has to be modified and we have to add additional sensors or change methods to achieve more promising results. The results, findings and conclusions might be later used in tunnels and highways and also be applied in telematics and lead to better, safer road transport and improvement of existing tunnel systems sustainability by utilizing resources in a smarter way.
format	article
author	Pavol Kuchár Rastislav Pirník Tomáš Tichý Karol Rástočný Michal Skuba Tamás Tettamanti
author_facet	Pavol Kuchár Rastislav Pirník Tomáš Tichý Karol Rástočný Michal Skuba Tamás Tettamanti
author_sort	Pavol Kuchár
title	Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
title_short	Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
title_full	Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
title_fullStr	Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
title_full_unstemmed	Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
title_sort	noninvasive passenger detection comparison using thermal imager and ip cameras
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/10b5d25333e244e9a690c4ed8b51b16a
work_keys_str_mv	AT pavolkuchar noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras AT rastislavpirnik noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras AT tomastichy noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras AT karolrastocny noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras AT michalskuba noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras AT tamastettamanti noninvasivepassengerdetectioncomparisonusingthermalimagerandipcameras
_version_	1718410261280325632

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

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