Author Login IJIRT Partner Network (IPN) Login

Signal Processing Techniques for Drone Detection

  • Unique Paper ID: 161392
  • Volume: 10
  • Issue: 3
  • PageNo: 504-512
  • Abstract:
  • Drones have garnered great popularity due to their widespread applications across various industries, ranging from surveillance and reconnaissance to logistics and entertainment. However, the increasing use of drones has also given platform to potential security threat activities, such as unauthorized surveillance, smuggling, and privacy invasion. As a result, there is need to develop efficient and reliable drone detection systems to safeguard sensitive areas and public spaces. This paper focuses on the development and implementation of an inclusive drone detection system based on advanced signal processing techniques and machine learning algorithms and deep learning algorithms. The proposed system aims to identify and classify drones with highest accuracy on real world datasets. Using the real-world datasets and different highly accurate techniques for classification the model developed is reliable and can be directly used for advance practical purposes.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 3
  • PageNo: 504-512

Signal Processing Techniques for Drone Detection

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry