AN INTELLIGENT ALGORITHMIC METHOD FOR CALIBRATING SIGHTS

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Bogdan Viktorovich Pavlenko
Software Engineer of the 1st category, Postgraduate Student, Federal State Budget Scientific Institution "Institute of Artificial Intelligence Problems".
283048, 118 b Artyoma str., Donetsk.
Research interests: pattern recognition systems.

Vitaliy Ivanovich Bondarenko
Candidate of Technical Sciences, Associate Professor of the Department of Computer Technologies, State Educational Institution of Higher Professional Education "Donetsk State University", Donetsk.
283001, 4 Universitetskaya str., Donetsk.
Research interests: artificial intelligence, intelligent data analysis, mathematical modeling of hydro and thermophysical processes.

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UDC 004.93/004.932
DOI 10.24412/2413-7383-2024-3-55-63
Language: Russian
Annotation: The article presents the development process and the results of the semi-autonomous experimental intelligent algorithmic optical sight calibration system using the mildot grid. The features of creating your own datasets for specific areas are touched upon. The recognition system is based on the use of fast neural networks such as YOLO.
Keywords: intelligent algorithm, calibration, optical sight, YOLO.

List of literature:
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8. Srivastava, S., Divekar, A.V., Anilkumar, C. et al. Comparative analysis of deep learning image detection algorithms. J Big Data 8, 66 (2021). https://doi.org/10.1186/s40537-021-00434-w [Electronic resource] / Doi : Website. - URL: https:// doi.org/10.1186/s40537-021-00434-w.
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Release: 3(34)'2024
Chapter: SYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSING, STATISTICS
How to quote: Pavlenko B. V. Bondarenko V. I. AN INTELLIGENT ALGORITHMIC METHOD FOR CALIBRATING SIGHTS [Text] / B. V. Pavlenko V. I. Bondarenko // Problems of artificial intelligence. - 2024. № 3 (34). - P. 55-63. - http://paijournal.guiaidn.ru/ru/2024/3(34)-6.html

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