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

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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Publication Details

Journal
Automatic Documentation and Mathematical Linguistics
Published
2024-12-01
DOI
https://doi.org/10.3103/s000510552470033x
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Natalia Mamedova, A. S. Bortsov
Automatic Documentation and Mathematical Linguistics
Image Retrieval and Classification Techniques
article

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

Natalia Mamedova, A. S. Bortsov
article en

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.

Automatic Documentation and Mathematical LinguisticsVol. 58(6)
Plekhanov Russian University of Economics (RU), Park University (US)
Openalex Percentile: Top 73%
Image Retrieval and Classification Techniques
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