Abstract

Today people are witnessing the rapid evolvement in every area. This is because of the emerging trends in communication technology and autonomous unmanned vehicles. These trends have led us towards the high standards of health, energy, transportation, monitoring, and surveillance of huge domestic and industrial projects. Thus, this review paper presents the integration of the latest trend in communication technology, i.e., Internet of things (IoT) with unmanned aerial vehicles (UAVs). This manuscript not only reviews the use of IoT-enabled unmanned aerial vehicles for inspecting the several construction sites but also emphasizes the utilization of such IoT-enabled autonomous aerial vehicles for ensuring the health and safety measures at the site. It discusses the major limitations and shortcomings of state-of-the-art techniques for the same purpose, i.e., optimization issues in path planning, lightweight artificial intelligence (AI) and computer vision algorithms, coordination in communication using IoT, and scalability of IoT network. Thus, this paper shall help the reader to explore different open research problems in-depth.

Highlights

  • It is observed that the population of this planet is rapidly increasing, and it is an intellectual guess; this number is likely to double by the 2060s

  • Such utilization of Internet of things (IoT)-enabled drones or Internet of robotic things (IoRT) will enhance the level of updating the progress to the supervisor or site manager within a short time. ere are several IoT-oriented applications that one may find in the previous research work [2]. ese applications have been proposed to improve several domains, i.e., public health sector, mobility of goods, water resource management, waste management, smart environment, and government [3]

  • In order to present a comprehensive way to monitor the construction sites, this paper shows the support for IoT platform and addresses the shortcomings of computer vision techniques the huge time consumption for thermal image acquisition, and researchers derived various digital image processing algorithms, i.e., elimination of noise interference using the Butterworth low pass filter. is leads to fast processing and fine enhancement of image quality with any external noise

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Summary

Introduction

It is observed that the population of this planet is rapidly increasing, and it is an intellectual guess; this number is likely to double by the 2060s. After studying these research contributions, the paper suggests the amalgamation of such techniques with unmanned aerial vehicles to provide speedy and accurate surveillance of construction sites.

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