Detail publikace

Thermal Imaging Detection System: A Case Study for Indoor Environments

DRAHANSKÝ, M. CHARVÁT, M. MACEK, I. MOHELNÍKOVÁ, J.

Originální název

Thermal Imaging Detection System: A Case Study for Indoor Environments

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Currently, there is an increasing need for reliable mechanisms for automatically detecting and localizing people—from performing a people-flow analysis in museums and controlling smart homes to guarding hazardous areas like railway platforms. A method for detecting people using FLIR Lepton 3.5 thermal cameras and Raspberry Pi 3B+ computers was developed. The method creates a control and capture library for the Lepton 3.5 and a new person-detection technique that uses the state-of-the-art YOLO (You Only Look Once) real-time object detector based on deep neural networks. A thermal unit with an automated configuration using Ansible encapsulated in a custom 3D-printed enclosure was used. The unit has applications in simple thermal detection based on the modeling of complex scenes with polygonal boundaries and multiple thermal camera monitoring. An easily deployable person-detection and -localization system based on thermal imaging that supports multiple cameras and can serve as an input for other systems that take actions by knowing the positions of people in monitored environments was created. The thermal detection system was tested on a people-flow analysis performed in the Czech National Museum in Prague. The contribution of the presented method is the development of a small and simple detection system that is easily mountable with wide indoor as well as outdoor applications. The novelty of the system is in the utilization of the YOLO model for thermal data.

Klíčová slova

artificial intelligence; infrared imaging; infrared sensors; localization and mapping; neural networks; building security management

Autoři

DRAHANSKÝ, M.; CHARVÁT, M.; MACEK, I.; MOHELNÍKOVÁ, J.

Vydáno

12. 9. 2023

Nakladatel

MDPI

Místo

Basel, Switzerland

ISSN

1424-8220

Periodikum

SENSORS

Ročník

23

Číslo

18

Stát

Švýcarská konfederace

Strany od

1

Strany do

19

Strany počet

19

URL

https://www.mdpi.com/1424-8220/23/18/7822

Plný text v Digitální knihovně

http://hdl.handle.net/11012/245062

BibTex

@article{BUT184667,
  author="Martin {Drahanský} and Michal {Charvát} and Ivo {Macek} and Jitka {Mohelníková}",
  title="Thermal Imaging Detection System: A Case Study for Indoor Environments",
  journal="SENSORS",
  year="2023",
  volume="23",
  number="18",
  pages="1--19",
  doi="10.3390/s23187822",
  issn="1424-8220",
  url="https://www.mdpi.com/1424-8220/23/18/7822"
}