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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
HawkEye: An Ensemble Approach For Flying Object Detection
Authors
Avantika Mane, Saummya Jalan, Poonam Vengurlekar
Keywords
FlyingObjectDetection,YOLO,DETR,Ensem- ble Learning, Deep Learning, Computer Vision.
Abstract
Modern surveillance, security, and airspace mon- itoring systems rely heavily on flying object detection. The challengeisintheexactdetectionoffast-movingairborneobjects including drones, birds, planes, and balloons especially under varying lighting, altitude, and background clutter conditions. This paper presents HawkEye, a deep learning-based ensemble system combining YOLO (You Only Look Once) and DETR (DEtection TRansformer) models, to provide improved accuracy and robustness in flying object identification. The model is trained on the Flying Objects OB 100 dataset, which coversmany aerial scenarios. The paper offers two key approaches:The paper proposes two primary techniques: (1) DOLO, ahybrid architecture combining YOLO's real-time efficiency with DETR's; and (2) an ensemble learning approach combining several YOLO versions with DETR
IJCRT's Publication Details
Unique Identification Number - IJCRT2505273
Paper ID - 285407
Page Number(s) - c399-c408
Pubished in - Volume 13 | Issue 5 | May 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Avantika Mane, Saummya Jalan, Poonam Vengurlekar, "HawkEye: An Ensemble Approach For Flying Object Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.c399-c408, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505273.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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