A Feasibility Study of Real-Time Image Processing Techniques for Small Flying Object Detection in Drones

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dc.contributor.authorLoftus N.
dc.contributor.authorParlato C.
dc.contributor.authorMcGinty A.
dc.contributor.authorKizilay F.
dc.contributor.authorNarman H.S.
dc.date.accessioned2024-07-22T08:01:55Z
dc.date.available2024-07-22T08:01:55Z
dc.date.issued2024
dc.description.abstractDrone usage is increasing significantly in our daily life, from military to delivery purposes. Although drones are also used to detect objects by using different techniques, they are limited to detecting flying small objects such as birds and responding quickly not to cause unintended collisions while flying at high speed. In this paper, we investigate the feasibility of using machine learning and image processing methods in drones while detecting birds mid-flight and responding to ensure their safety. This Real Time Bird Detection system (RTBD) is designed to detect birds so that proper response or evasive action can be taken by the drone. To avoid erroneous responses and observe the auto-behavior of drones while acting not to collide, we have developed an application with a graphical interface to easily control the drone's video feed and process that information using a machine-learning model. The application also has the capability to detect if a bird is close enough to interfere with the drone's flight path. Our test results show that the drone identified bird images within a 50-millisecond window of time, with Precision exceeding 96%, when Confidence exceeded 80%. © 2024 IEEE.
dc.identifier.DOI-ID10.1109/ICCE59016.2024.10444450
dc.identifier.issn0747668X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/11646
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAircraft detection
dc.subjectBirds
dc.subjectDrones
dc.subjectMachine learning
dc.subjectObject recognition
dc.subjectDaily lives
dc.subjectFeasibility studies
dc.subjectFlying objects
dc.subjectHigh Speed
dc.subjectImage processing technique
dc.subjectMachine learning.
dc.subjectMachine-learning
dc.subjectObjects detection
dc.subjectReal-time image processing
dc.subjectSmall objects
dc.subjectObject detection
dc.titleA Feasibility Study of Real-Time Image Processing Techniques for Small Flying Object Detection in Drones
dc.typeConference paper

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