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International Conference on Network-Based Information Systems

NBiS 2018: Advances in Network-Based Information Systems pp 182–193Cite as

Developing a Low-Cost Thermal Camera for Industrial Predictive Maintenance Applications

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

Abstract

This paper presents the development and evaluation of a low-cost thermal camera based on off-the-shelf components that can be used to predict failures of industrial machines. On the sensing side the system is based on a LWIR thermal camera (FLiR Lepton), whereas for the data acquisition it uses an ARM Cortex-M4F micro-controller (Texas Instruments MSP432) running FreeRTOS. For the data communications the system uses a Wi-Fi transceiver with an embedded IPV4 stack (Texas Instruments CC3100), which provides seamless integration with the Cloud back-end (Amazon AWS) used to retrieve, store and process the thermal images. The paper also presents the calibration method used to obtain the relation between the camera raw output and the actual object temperature, as well the measurements that have been conducted to determine the overall energy consumption of the system.

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunications, Polytechnic University of Tirana (UPT), Tirana, Albania

    Alda Xhafa

  2. Computer Science, Multimedia and Telecommunications Department (EIMT), Universitat Oberta de Catalunya (UOC), Barcelona, Spain

    Pere Tuset-Peiró

  3. Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Castelldefels, Spain

    Xavier Vilajosana

Authors
  1. Alda Xhafa
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  2. Pere Tuset-Peiró
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  3. Xavier Vilajosana
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Corresponding author

Correspondence to Alda Xhafa .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Xhafa, A., Tuset-Peiró, P., Vilajosana, X. (2019). Developing a Low-Cost Thermal Camera for Industrial Predictive Maintenance Applications. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_16

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