Automated Solution of Qualitative Image Analysis Problem Based on Laplace Variation for Mobile Application Development

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
N. A. Mamedova, A. S. Bortsov
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Abstract

This article considers software for automated image analysis that must work from the operator’s mobile device, automatically perform high-quality image analysis for clarity, offer recommendations based on the output results, save images on the device in a report, determine the network signal level, send a report to the server, and delete it. The applied specificity of the problem being solved consists in the analysis of images that captured data from control panels, consoles, lifting sensors, and transport vehicles involved in logistics processes on the territory of a multimodal transport and logistics center. Automation is provided by the operation of a mathematical model based on the Laplace variation for analyzing image clarity with sufficient detail and microcontrast of captured objects. All of the steps in development are described, and the rationale for choosing the mathematical apparatus and technology stack is given. This approach ensures the validity of the process and the research results.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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