An Intelligent Mobile Search System

Authors

DOI:

https://doi.org/10.18372/1990-5548.81.18989

Keywords:

synthetic aperture ground penetrating radar, humanitarian demining, quadcopter, convolutional neural networks, data detection, localization and storage tasks

Abstract

This article is devoted to the development of an intelligent mobile system used for humanitarian demining. At the same time, the problems of detection, localization and storage of the obtained data are solved. The system operation is based on the use of a synthetic aperture ground penetrating radar, which makes it possible to detect mines both on the earth's surface and underground. A quadcopter is used as a carrier. A set of technical means has been developed. The central and graphic processors are used as a processing unit. Intelligent elements for processing the obtained data are convolutional neural networks, for machine learning of which a synthetic dataset was used. The data is organized into S3 segments based on various parameters, such as date, location and sensor type. This organization facilitates data retrieval and management. Data is encrypted both during transmission and at rest using AWS Key Management Service to ensure confidentiality.

Author Biographies

Victor Sineglazov , National Aviation University, Kyiv

Doctor of Engineering Science

Professor

Head of the Department Aviation Computer-Integrated Complexes

Faculty of Air Navigation Electronics and Telecommunications

Maxim Koval , National Aviation University, Kyiv

Bachelor   

Aviation Computer-Integrated Complexes Department

Faculty of Air Navigation, Electronics and Telecommunications

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Published

2024-09-30

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Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES