Publication detail

Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing

DEJDAR, P. ZÁVIŠKA, P. VALACH, S. MÜNSTER, P. HORVÁTH, T.

Original Title

Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing

Type

journal article in Web of Science

Language

English

Original Abstract

The aim of this paper is to evaluate detection algorithms for perimeter security systems based on phase-sensitive optical time-domain reflectometry (Φ-OTDR). Our own designed and developed sensor system was used for the measurement. The main application of the system is in the area the perimeter fencing intrusion detection. The system is unique thanks to the developed motherboard, which contains a field-programmable gate array (FPGA) that takes care of signal processing. This allows the entire system to be integrated into a 1U rack chassis. A polygon containing two different fence types and also cable laid underground in a plastic tube was used for testing. Edge detection algorithms using the Sobel and Prewitt operators are considered for post-processing. The comparison is made based on the signal-to-noise ratio (SNR) values calculated for each event. Results of algorithms based on edge detection methods are compared with the conventional differential method commonly used in Φ-OTDR systems.

Keywords

edge detection;intruder detection;phase-OTDR;signal-to-noise ratio;vibration sensing

Authors

DEJDAR, P.; ZÁVIŠKA, P.; VALACH, S.; MÜNSTER, P.; HORVÁTH, T.

Released

17. 6. 2022

Publisher

MDPI

ISBN

1424-8220

Periodical

SENSORS

Year of study

22

Number

12

State

Swiss Confederation

Pages from

1

Pages to

13

Pages count

13

URL

https://www.mdpi.com/1424-8220/22/12/4573

Full text in the Digital Library

http://hdl.handle.net/11012/207504

BibTex

@article{BUT178236,
  author="Petr {Dejdar} and Pavel {Záviška} and Soběslav {Valach} and Petr {Münster} and Tomáš {Horváth}",
  title="Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing",
  journal="SENSORS",
  year="2022",
  volume="22",
  number="12",
  pages="1--13",
  doi="10.3390/s22124573",
  issn="1424-8220",
  url="https://www.mdpi.com/1424-8220/22/12/4573"
}