A Study on the Development of Night Vision Thermal Camera Using Deep Learning 


Vol. 44,  No. 12, pp. 2332-2338, Dec.  2019
10.7840/kics.2019.44.12.2332


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  Abstract

In this paper, we developed a thermal survelliance camera that can monitor day and night using low resolution infrared sensor. The developed camera implemented the function of learning and recognizing the target using deep learning, the algorithm to track the recognized object and the PT(Pan-Tilt) function. The developed camera has been trained using the thermal image of the object that needs to be recognized by the supervised learning method, and the recognition test has been performed. The developed camera is expected to be used as a detection and removal of harmful animals that can damage farm at night, night surveillance in remote areas, and fire or overheat monitoring systems at homes and industrial plants.

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  Cite this article

[IEEE Style]

W. Hwang, S. B. Oh, Y. J. Nam, S. Ro, "A Study on the Development of Night Vision Thermal Camera Using Deep Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 12, pp. 2332-2338, 2019. DOI: 10.7840/kics.2019.44.12.2332.

[ACM Style]

Woong Hwang, Sang Been Oh, Yoon Joo Nam, and Soonghwan Ro. 2019. A Study on the Development of Night Vision Thermal Camera Using Deep Learning. The Journal of Korean Institute of Communications and Information Sciences, 44, 12, (2019), 2332-2338. DOI: 10.7840/kics.2019.44.12.2332.

[KICS Style]

Woong Hwang, Sang Been Oh, Yoon Joo Nam, Soonghwan Ro, "A Study on the Development of Night Vision Thermal Camera Using Deep Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 12, pp. 2332-2338, 12. 2019. (https://doi.org/10.7840/kics.2019.44.12.2332)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880