Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00356760" target="_blank" >RIV/68407700:21260/21:00356760 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/su132212928" target="_blank" >https://doi.org/10.3390/su132212928</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su132212928" target="_blank" >10.3390/su132212928</a>

Result language

angličtina

Original language name

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Original language 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. View Full-Text

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SUSTAINABILITY

ISSN

2071-1050

e-ISSN

2071-1050

Volume of the periodical

2021

Issue of the periodical within the volume

13

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

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UT code for WoS article

000723484300001

EID of the result in the Scopus database

2-s2.0-85120789536