Digital Image Processing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Digital Imaging of Objects behind Steel Walls using Drone


Affiliations
1 Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India
     

   Subscribe/Renew Journal


In this paper, we describe an innovative idea for digitally imaging objects behind steel involving the efficient utilization of Hexacopter (UAVs) to facilitate real-time structural health observation and analysis. Steel is an extensively utilized alloy for the manufacturing of enginery in most factories, manufacturing facilities, and industrial units. The subsistence and upkeep of these engineries might become very costly, tedious, and unproductive if it needs disassembling, close scrutiny, and then the reconstruction. Hence an attempt is made in discussing a creative approach that will facilitate enginery examination without disassembling of enginery just as imaging the human body through x-rays. This will aid to recognize the source of the fault in enginery and required measures can be taken., Most often heat is a preliminary indication of machinery damage or breakdown, making it important to observe and analyze, hence in preventive maintenance programs, use of radio, WiFi, heat, light, and sound signals via a drone for quick data accumulation from hazardous locations to get a digital image of the area being scanned from a safe distance from moving or energized types of equipment. Moreover, the current applications and future potential of drones in the industrial fields are discussed.

Keywords

UAV (Unmanned Aerial Vehicle), Drone, Steel, XRay, Thermal Sensor, Image Processing Algorithm, Imaging, Maintenance, Inspection, Computer Vision, and Machine Learning.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Hakan Kayan, Raheleh Eslampanah, Faezeh Yeganli, Murat Askar. "Heat leakage detection and surveiallance using aerial thermography drone" , 2018 26th Signal Processing and Communications Applications Conference (SIU), 2018

  • Maitha Al Shamsi, Mohammed Al Shamsi, Rashed Al Dhaheri, Rashed Al Shamsi, Saif Al Kaabi, Younes Al Younes. "Foggy drone: Application to a hexarotor UAV" , 2018 Advances in Science and Engineering Technology International Conferences (ASET), 2018

  • Shaik zainuddin.et.al “Digital imaging of objects behind steel walls using drone”smart india Hackathon 2020

  • Y. Zeng, R. Zhang, and T. J. Lim, “Wireless communications with unmanned aerial vehicles: Opportunities and challenges” IEEE Communications Magazine”, vol. 54, no. 5, pp. 36– 42, 2016.

  • Gupta, R. Jain, and G. Vasken, “Survey of important issues in UAV communication networks,”IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 1123–1152, 2016.

  • S. Hayat, E. Yilmaz, and R. Muzaffar, “Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint,”IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2624–2661, 2016.

  • Sankarasrinivasan, S., E. Balasubramanian, K. Karthik, U. Chandrasekar, and Rishi Gupta. "Health Monitoring of Civil Structures with Integrated UAV and Image Processing System", Procedia Computer Science, 2015.

  • Herrick, Katrina, Development of the Unmanned Aerial Vehicle Market: Forecasts and Trends, Air and Space Europe, pp. 25–27, (2009).

  • S. R. Herwitz, L. F. Johnson, S. E. Dunagan, R. G. Higgins, D. V. Sullivan, J. Zheng and J. A. Brass, Imaging from an Unmanned Aerial Vehicle: Agricultural Surveillance and Decision Support, In Computers and Electronics in Agriculture, vol. 44(1), pp. 49–61, (2009).

  • H. Xiang and L. Tian, Development of a Low-Cost Agricultural Remote Sensing System based on an Autonomous Unmanned Aerial Vehicle (UAV), Biosystems Engineering, vol. 108(2), pp. 174–190, (2011).

  • L. Lewis, D. J. Cook, S. K. Dasm and John Wiley, Wireless Sensor Networks, In Proc. Smart Environment Technologies, Protocols and Applications, pp. 1–18, (2004).

  • Rinaudo, F. Chiabrando, A. Lingua and A. Span, Site Monitoring: Archaeological Site Monitoring: UAV Photogrammetry can be an


Abstract Views: 123

PDF Views: 0




  • Digital Imaging of Objects behind Steel Walls using Drone

Abstract Views: 123  |  PDF Views: 0

Authors

Shaik Zainuddin
Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India
Stanley David
Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India
M. K. Vandhana
Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India
Rakesh Chandrashekaran
Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India
K. Ezhilarasan
Department of Electronics and Communication Engineering, Sambhram Institute of Technology, Bengaluru, India

Abstract


In this paper, we describe an innovative idea for digitally imaging objects behind steel involving the efficient utilization of Hexacopter (UAVs) to facilitate real-time structural health observation and analysis. Steel is an extensively utilized alloy for the manufacturing of enginery in most factories, manufacturing facilities, and industrial units. The subsistence and upkeep of these engineries might become very costly, tedious, and unproductive if it needs disassembling, close scrutiny, and then the reconstruction. Hence an attempt is made in discussing a creative approach that will facilitate enginery examination without disassembling of enginery just as imaging the human body through x-rays. This will aid to recognize the source of the fault in enginery and required measures can be taken., Most often heat is a preliminary indication of machinery damage or breakdown, making it important to observe and analyze, hence in preventive maintenance programs, use of radio, WiFi, heat, light, and sound signals via a drone for quick data accumulation from hazardous locations to get a digital image of the area being scanned from a safe distance from moving or energized types of equipment. Moreover, the current applications and future potential of drones in the industrial fields are discussed.

Keywords


UAV (Unmanned Aerial Vehicle), Drone, Steel, XRay, Thermal Sensor, Image Processing Algorithm, Imaging, Maintenance, Inspection, Computer Vision, and Machine Learning.

References