Internet of Things Application for Green Border Surveillance, Based on Edge Detection Techniques

Authors

Keywords:

Algorithm, edge detection, internet of things, green border, WSN

Abstract

In the last decade, state border security and its evaluation and improvement techniques have aroused great interest. In particular, a greater focus is on evaluating and improving green border security techniques. This field is very current and delicate, as it is about national security and border protection against attacks and threats of various kinds. Border protection does not include only physical state security, but recently border security has created a specific economic interest because of the damage it causes in many aspects. The implementation of IoT technology, namely the application of multimedia sensors for green border surveillance, is accompanied by an efficient algorithm for detecting the edges of images captured by sensors. Our approach will increase detection efficiency, improve the time required for edge detection, and reduce energy consumption and the amount of memory used by the sensors. Furthermore, a new approach algorithm is introduced to improve the existing algorithms in terms of edge detection in those areas where edge detection is difficult. The proposed algorithm's performance is experimented with using a low-cost hardware Raspberry pi 3B+. Also, the achieved results will be analyzed and compared with others existing algorithms for detecting the edges of the images.

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The architecture of placement of sensors during the green borderline

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Published

17.02.2023

How to Cite

Hulaj, A. ., Likaj, R. ., & Bajrami, X. . (2023). Internet of Things Application for Green Border Surveillance, Based on Edge Detection Techniques. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 702–709. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2792

Issue

Vol. 11 No. 2 (2023)

Section

Research Article

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