Skip to main content

An Insight on Drone Applications in Surveillance Domain

  • Conference paper
  • First Online:
Big Data, Machine Learning, and Applications (BigDML 2021)

Abstract

Unmanned Aerial Vehicle (UAV), also referred as drone, is the rapid development of the technology. The Drone requires a critical infrastructure element, tools, ground station, communication links, server, and application services. The existing system has drawbacks, such as vulnerability, unsafe, risk and unsecured systems etc. To overcome the limitations, the application of Drones in Surveillance uses ground to ground, ground to air and air to air communication. The significant features of drone include takeoff, landing, traveling with payload, record the data, functional operations, and application services. The system with a high-resolution camera can record the data in a specific area using Global Positioning System (GPS), embedded systems, controllers, and concern application(s). The inevitable usage of drones in Surveillance includes the evidence collection in the investigation process during the Forensic study/police investigations. The work can be extended to intelligent navigation with target mission-critical applications in military/defense.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://www.interpol.int/en/News-and-Events/News/2018/Drone-technology-security-threats-and-benefits-for-police-focus-of-INTERPOL-forum

  2. Sharma BK, Chandra G, Mishra VP (2019) Comparative analysis and implication of UAV and AI in forensic investigations. IEEE, pp 1–4

    Google Scholar 

  3. Yaacoub J-P, Noura H, Salman O, Chehab A (2020) Security analysis of drones systems: attacks, limitations, and recommendations. Internet of things, NCBI. Elsevier, pp 1–39

    Google Scholar 

  4. https://www.allerin.com/blog/10-stunning-applications-of-drone-technology

  5. Vemema Kangunde Rodrigo S Jamisola Jr, · Emmanuel K Theophilus (2020) A review on drones controlled in real-time. Int J Dyn Control 1–15. Springer

    Google Scholar 

  6. https://www.computer.org/publications/tech-news/trends/the-5-ways-drones-still-need-to-improve

  7. Altawy R, Youssef AMR (2016) Security, privacy, and safety aspects of civilian drones: a survey. ACM Trans Cyber-Phys Syst 1(2), Article 7:1–25

    Google Scholar 

  8. Katsigiannis P, Misopolinos L, Liakopoulos V, Alexandridis TK, Zalidis G (2016) An autonomous multi-sensor UAV system for reduced input precision agriculture applications. In: 24th Mediterranean conference on control and automation (MED), Athens, Greece. IEEE, pp 1–5

    Google Scholar 

  9. Kulbackiy M, Segen_y J, Knie´cy W, Klempousz R, Kluwakz K, Nikodemz J, Kulbackax J, Seresteryy A (2018) Survey of drones for agriculture automation from planting to harvest. In: INES 2018, IEEE international conference, pp 1–6

    Google Scholar 

  10. https://www.zdnet.com/article/best-surveillance-drone/

  11. Ding G, Wu Q, Zhang L, Lin Y, Tsiftsis TA, Yao Y-D (2017) An amateur drone surveillance system based on cognitive internet of things, pp 1–18

    Google Scholar 

  12. Milas AS, Teodoro AC, Garicia JD (2018) Unmanned aerial systems (UAS) for environmental applications special Issue preface? Int J Remote Sens Taylor Francis 39(15–16):1845–4851

    Google Scholar 

  13. Masum MA et al. (2013) Simulation of intelligent unmanned aerial vehicle (UAV) for military surveillance. In: 2013 International conference on advanced computer science and information systems (ICACSIS), Sanur Bali, Indonesia, pp 161–166

    Google Scholar 

  14. Hartmann K, Giles K (2016) UAV exploitation: a new domain for cyber power. In: 2016 8th International conference on cyber conflict (CyCon), Tallinn, Estonia, pp 205–221

    Google Scholar 

  15. Dilshad N, Hwang J, Song J, Sung N (2020) Applications and challenges in video surveillance via drone: a brief survey. IEEE, pp 728–732

    Google Scholar 

  16. Hodge VJ, Hawkins R, Alexander R (2021) Deep reinforcement learning for drone navigation using sensor data.Neural Comput Appl 33:2015–2033

    Google Scholar 

  17. Kandrot S, Hayes S, Holloway P (2021) Applications of uncrewed aerial vehicles (UAV) technology to support integrated coastal zone management and the un sustainable development goals at the coast. Estuaries Coasts 2021:1–20

    Google Scholar 

  18. Kangunde V, Rodrigo S, Jamisola Jr, Emmanuel K, Theophilus (2021) A review on drones controlled in real-time. Int J Dyn Control 9:1832–1846

    Google Scholar 

  19. Labib NS, Brust MR, Danoy G, Bouvry P (2021) The rise of drones in internet of things: a survey on the evolution, prospects and challenges of unmanned aerial vehicles. IEEE Access 9:115466–115487

    Google Scholar 

  20. Upadhyay M, Murthy SK, Bazil Raj AA (2021) Intelligent system for real time detection and classification of aerial targets using CNN. IEEE Xplore, pp 1676–168

    Google Scholar 

  21. Xun DTW, Lim YL, Srigrarom S (2021) Drone detection using YOLOv3 with transfer learning on NVIDIA Jetson TX2. IEEE Xplore, pp 1–6

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Swami Das .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Das, M.S., Kumar, G.R., Ram Kumar, R.P. (2024). An Insight on Drone Applications in Surveillance Domain. In: Borah, M.D., Laiphrakpam, D.S., Auluck, N., Balas, V.E. (eds) Big Data, Machine Learning, and Applications. BigDML 2021. Lecture Notes in Electrical Engineering, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-99-3481-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3481-2_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3480-5

  • Online ISBN: 978-981-99-3481-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics