UAV Application with Moving Human Face Detection and Tracking

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Engin Güzel
Engin Güzel
2
Mustafa Yağci
Mustafa Yağci

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GJSFR Volume 22 Issue I2

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Unmanned aerial vehicles are a technology that has been used in many fields such as civil, military, industry and personal hobby in recent years and is developing rapidly in terms of technology day by day. In this study, human face detection and tracking application was carried out with a four-motor UAV. As an unmanned aerial vehicle, the DJI Tello EDU Drone has been used because it can be programmed with several different software languages, cheap cost, and material quality. The application was carried out in the PyCharm environment using the Python software language and OPENCV version 4.3.0 due to the availability of easy-to-learn and source studies. The OPENCV library was used to perform human face detection and tracking in the application. This process was carried out as the process of deciding and following without any selection process by the user that the object to be detected in the real-time image obtained from the frame of the fixed camera in the UAV is a human face. Dependent factors were evaluated in order to obtain the desired results in indoor and outdoor flights. As a result, human face tracking application was carried out autonomously in this study.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Engin Güzel. 2026. \u201cUAV Application with Moving Human Face Detection and Tracking\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 22 (GJSFR Volume 22 Issue I2): .

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Enhanced AI for Human Face Tracking.
Issue Cover
GJSFR Volume 22 Issue I2
Pg. 23- 31
Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-I Classification: DDC Code: 363.325 LCC Code: UG1242.D7
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v1.2

Issue date

June 25, 2022

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

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The methods for personal identification and authentication are no exception.

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Unmanned aerial vehicles are a technology that has been used in many fields such as civil, military, industry and personal hobby in recent years and is developing rapidly in terms of technology day by day. In this study, human face detection and tracking application was carried out with a four-motor UAV. As an unmanned aerial vehicle, the DJI Tello EDU Drone has been used because it can be programmed with several different software languages, cheap cost, and material quality. The application was carried out in the PyCharm environment using the Python software language and OPENCV version 4.3.0 due to the availability of easy-to-learn and source studies. The OPENCV library was used to perform human face detection and tracking in the application. This process was carried out as the process of deciding and following without any selection process by the user that the object to be detected in the real-time image obtained from the frame of the fixed camera in the UAV is a human face. Dependent factors were evaluated in order to obtain the desired results in indoor and outdoor flights. As a result, human face tracking application was carried out autonomously in this study.

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UAV Application with Moving Human Face Detection and Tracking

Engin Güzel
Engin Güzel
Mustafa Yağci
Mustafa Yağci

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