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Designing for Boundary Detection of Foreign Objects in Airports Using Python 3
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Author(s): Devasis Pradhan (Acharya Institute of Technology, Bangalore, India), Gnapika Mallavaram (Acharya Institute of Technology, Bangalore, India), Kumari Priyanka (Acharya Institute of Technology, Bangalore, India), S. Sneha (Acharya Institute of Technology, Bangalore, India)and Sidhi Jain (Acharya Institute of Technology, Bangalore, India)
Copyright: 2023
Pages: 8
Source title:
The Software Principles of Design for Data Modeling
Source Author(s)/Editor(s): Debabrata Samanta (Rochester Institute of Technology, Kosovo)
DOI: 10.4018/978-1-6684-9809-5.ch007
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Abstract
Boundary detection of foreign objects in airports is a critical safety concern, as debris and other objects can cause significant damage to aircraft and pose a serious risk to passenger safety. This chapter explores the use of Python programming language and computer vision techniques for the detection of objects at airports. The study presents an overview of the detection of objects in airport problems and their significance in aviation safety, followed by a detailed description of the Python-based foreign object detection system architecture. The system incorporates image processing algorithms and deep learning models to identify and classify foreign objects on airport runways and other operational areas. The chapter discusses the advantages and limitations of using Python for detection and highlights the potential for future research in this area. The study concludes by emphasizing the importance of detection in ensuring safe and efficient airport operations and the potential benefits of boundary detection using Python version 3.
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