Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Pavol Kuchár, Rastislav Pirník, Tomáš Tichý, Karol Rástočný, Michal Skuba and Tamás Tettamanti
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Pavol Kuchár: Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia
Rastislav Pirník: Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia
Tomáš Tichý: Faculty of Transportation Sciences, Czech Technical University in Prague, 110 00 Prague, Czech Republic
Karol Rástočný: Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia
Michal Skuba: Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia
Tamás Tettamanti: Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, 1111 Budapest, Hungary

Sustainability, 2021, vol. 13, issue 22, 1-17

Abstract: 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.

Keywords: traffic safety; safe passenger detection; digital image processing; computer vision; tunnel; data analysis; vehicle occupation; camera systems; transportation sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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