DEVELOPMENT OF A SOFTWARE PACKAGE FOR DETECTING AND RECOGNIZING ANOMALOUS OBJECTS FROM DRONE IMAGES

Authors

  • Kuchkorov Timurbek Atakhanovich PhD, Associate Professor Dean of the Faculty of Computer Engineering of TUIT
  • Abdullayev Jahongir Ilxambay ugli Independent Researcher of TUIT

Keywords:

Drone imagery, anomaly detection, computer vision, machine learning, artificial intelligence, object recognition, software complex, UAV surveillance.

Abstract

This article explores the development of a software complex designed for detecting and recognizing anomalous objects in drone imagery. With the increasing role of drones in security, environmental monitoring, disaster management, and infrastructure inspection, accurate anomaly detection is becoming a critical task. The proposed system integrates computer vision, machine learning, and artificial intelligence techniques to identify unusual patterns, objects, or behaviors from aerial images. The article presents a review of the literature, outlines the methodological framework, and discusses implementation challenges, experimental results, and future directions.

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Published

2025-09-18

Issue

Vol. 3 No. 9 (2025): WOD

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

DEVELOPMENT OF A SOFTWARE PACKAGE FOR DETECTING AND RECOGNIZING ANOMALOUS OBJECTS FROM DRONE IMAGES. (2025). Web of Discoveries: Journal of Analysis and Inventions, 3(9), 28-31. https://webofjournals.com/index.php/3/article/view/5084