Real-Time Internet-based Technology Applying Machine Learning Algorithm to Identify Airplane

Authors

  • Muhammad Ibrar The Superior University Lahore
  • Saif Ur Rehman The Superior University Lahore
  • Tahir Zaidi The Superior University Lahore
  • Rida Javaid The Superior University Lahore
  • Manzoor Ellahi The Superior University Lahore
  • Wajih H. Hashmi The Superior University Lahore

DOI:

https://doi.org/10.56536/jicet.v4i2.156

Keywords:

Algorithm, accuracy, Airplane, recognition

Abstract

Aircraft identification is critical in remote sensing for both civil and military purposes. The main challenge arises from subtle characteristics that cause significant variation within the same segment, such as differences in size, posture and angle. , while only minor differences exist. Among similar subcategories, it is important to accurately identify aircraft types such as radar systems, although commonly used, and often lacking accuracy. Anaconda, a state-of-the-art object recognition algorithm for aircraft recognition in the environment, achieves 98% training accuracy and 75% artificial intelligence accuracy by allowing computer systems to recognize objects from visual images or videos. Allows for analysis. The system is further equipped with an audio alert feature that activates when a potentially dangerous aircraft is detected. The project uses Python 3.6 (or later) and the necessary Python modules is, which makes it efficient and effective

Author Biographies

Muhammad Ibrar, The Superior University Lahore

Department of Electrical Engineering, The Superior University, Lahore, Pakistan.

Saif Ur Rehman, The Superior University Lahore

Department of Electrical Engineering, The Superior University, Lahore, Pakistan.

Tahir Zaidi, The Superior University Lahore

Department of Avionics Engineering, The Superior University, Lahore, Pakistan.

Rida Javaid, The Superior University Lahore

Department of Avionics Engineering, The Superior University, Lahore, Pakistan.

Manzoor Ellahi, The Superior University Lahore

Department of Electrical Engineering, The Superior University, Lahore, Pakistan.

Wajih H. Hashmi, The Superior University Lahore

Department of Avionics Engineering, The Superior University, Lahore, Pakistan.

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Published

2024-10-15