Detection of Runway Debris

Authors

  • Sourish Chakraborty Student, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur (India)
  • Tanmayee Maske Student, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur (India)
  • Prayushi Khandelwal Student, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur (India)
  • Vidhisha Fating Student, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur (India)
  • Dr. Sunil M. Wanjari Head of the Department, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur (India)
  • Ankita Shukla MS in Data Analytics Engineering at Northeastern University, Boston, MA, 02115, US

Keywords:

debris, detection of foreign objects, sensing technology

Abstract

The detection of foreign objects on runways is a key safety concern for airports globally. Debris on the runway, such as rocks, luggage, or other objects, can cause considerable damage to aircraft, resulting in accidents and threatening the lives of passengers and crew. Airfield inspectors use both traditional and automated methods to inspect runways for the presence of debris that varies in nature. The existing systems' fundamental limitation is their inability to detect all forms of foreign objects accurately and in the appropriate time frame for removal from airport runways. To avoid such mishaps, automatic debris object identification systems have been created, which scan the runway and detect any foreign objects using modern sensing technologies including cameras. These devices can instantly identify possible threats and warn airport officials, allowing them to take immediate action to clear debris and ensure airport operations are safe. This paper presents an overview of the various technologies we have utilized in debris detection on runways, as well as their advantages in improving airport safety.

References

Air France Flight 4590. [(accessed on 12 March 2023)]. Available online: http://en.wikipedia.org/wiki/Air_France_Flight_4590

M. Alexander-Adams, “Fact sheet – foreign object debris (fod),” Available online: fodprevention.com/fact-sheet-foreign-object-debris-fod, Nov 2013.

T. Munyer, D. Brinkman, C. Huang, and X. Zhong, “Integrative use of computer vision and unmanned aircraft technologies in public inspection: Foreign object debris image collection,” in DG.O2021: The 22nd Annual International Conference on Digital Government Research, ser. DG.O’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 437–443. [Online]. Available: https://doi.org/10.1145/3463677.3463743

Downloads

Published

29-04-2023

How to Cite

Sourish Chakraborty, Tanmayee Maske, Prayushi Khandelwal, Vidhisha Fating, Dr. Sunil M. Wanjari, & Ankita Shukla. (2023). Detection of Runway Debris. International Journal for Research Publication and Seminar, 14(3), 162–166. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/487

Issue

Vol. 14 No. 3 (2023): Vol 14 | Issue 3 | NCASIT 2023

Section

Original Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.