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Automatic Evaluation Algorithms for Radio Tomography Imaging Methods.

Krzysztof Strzecha1, Grzegorz Rybak1

  • 1Institute of Applied Computer Science, Lodz University of Technology, ul. Stefanowskiego 18, 90-537 Lodz, Poland.

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Summary
This summary is machine-generated.

Radio tomography imaging (RTI) offers a safe, radiation-free alternative to X-rays for monitoring people in buildings. This study introduces a flexible, microservices-based platform for evaluating RTI algorithms, enhancing its development and application.

Keywords:
FEMLBPRTI evaluationimage reconstructionpeople detectionradio tomographysimulation

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Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computer Science

Background:

  • Radio tomography imaging (RTI) is a non-ionizing imaging technique.
  • RTI can determine the number and location of individuals within enclosed spaces.
  • Potential applications include security, emergency response, and occupancy monitoring.

Purpose of the Study:

  • To develop a flexible evaluation platform for radio tomography imaging (RTI) image reconstruction algorithms.
  • To introduce an automated evaluation process for RTI.
  • To leverage a microservices-based distributed architecture for enhanced modularity and flexibility.

Main Methods:

  • Development of a distributed, microservices-based architecture for the RTI evaluation platform.
  • Implementation of an automated process for evaluating RTI image reconstruction algorithms.
  • Focus on system granularity and modularity to ensure flexibility for future development.

Main Results:

  • A novel, flexible architecture for an RTI evaluation platform has been successfully developed.
  • An automated evaluation process for RTI algorithms has been established.
  • The microservices approach offers significant advantages in terms of adaptability and scalability.

Conclusions:

  • The developed platform provides a flexible and modular foundation for advancing RTI image reconstruction algorithms.
  • The automated evaluation process streamlines the development and testing of RTI systems.
  • This approach facilitates future research and development in radio tomography imaging applications.