UAV for Surveillance and Mapping at Construction Sites

Authors

  • Kartikeya Jain  Department of Computer Science & Engineering, Amity School of Engineering and Technology Amity University Uttar Pradesh, Noida, India
  • Aditya Mohata  Department of Computer Science & Engineering, Amity School of Engineering and Technology Amity University Uttar Pradesh, Noida, India

Keywords:

Drone; Constructional sites; unmanned aerial vehicle

Abstract

With the enhancement of technology and with the use of Artificial Intelligence in Machines Machine intelligence and learning has made its way to be one of the major field in Engineering and Technology. Drones are being rapidly used in each field soon these are going to be implemented in the field of construction and mining. The use of drones in the field of construction could be beneficial as it could serve various purposes. The proposed system will help in effective construction field as it could be used as surveillance system in the area where surveillance by humans is not possible. There are various cases of people dying in land mines or falling from buildings at construction sites, these can be reduced if there is a proper surveillance system in these areas. The proposed work will be helpful in construction areas to be used as a surveillance system. The proposed system is basically a drone can also be used for examining the areas where the construction is going to happen as it can help the workers to prepare in advance for the conditions at the site. It uses facial recognition for the surveillance of the workers at construction sites and also generates 3D models from the image taken by the drone. The drone is operated by a remote and would be equipped with a camera and digital processing unit for image processing.

References

  1. NoppakornThanomseing and Saiyan Saiyod, "Landscape analysis system using 3D stereoscopic for drone’’ International Colloquium on Signal Processing & its Applications (CSPA 2017).
  2. Sandra Jacob and Richard Gloaguen, "Processing Of Drone-Borne Hyperspectral Data for geological Applications", IEEE.
  3. Victor M. D. M. Leite, "testbed Prototype of an Unmanned Aerial Vehicle Design" 2016
  4. Y. Lozano and O. Gutiérrez, "Design and Control of a Four-Rotary-Wing Aircraft", IEEE, 2016
  5. Kiran Kumar and Vinay Kumar Mittal, " Accurate and Augmented Navigation for quadcopter based on Multi-Sensor Fusion" , IEEE.
  6. Mario Hernandez Dominguez and Sergio Nesmachnow, "Planning a drone fleet using Artificial Intelligence for search and rescue missions", IEEE.
  7. Nikolaos Passalis and Anastasios Tefas, " Concept Detection and Face Pose Estimation UsingLightweight Convolutional Neural Networks for Steering Drone Video Shooting", IEEE 2015.
  8. Maria Tzelepi and Anastasios Tefas,"Human Crowd Detection for Drone Flight Safety Using Convolutional Neural Networks", EUSIPCO 2017.

Downloads

Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Kartikeya Jain, Aditya Mohata, " UAV for Surveillance and Mapping at Construction Sites, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.1022-1028, March-April-2018.