IMPROVEMENT OF THE SYSTEM OF AUTOMATED MONITORING OF VISA DATA AND NOTIFICATION OF USERS BASED ON ARTIFICIAL INTELLIGENCE
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Keywords

Visa automation, intelligent monitoring, OCR algorithms, migration compliance, notification systems, system architecture, data extraction, Data Science.

How to Cite

Rahmatullayev , D. (2026). IMPROVEMENT OF THE SYSTEM OF AUTOMATED MONITORING OF VISA DATA AND NOTIFICATION OF USERS BASED ON ARTIFICIAL INTELLIGENCE. Journal of Technology and Innovative Research, 1(1), 3-8. https://doi.org/10.5281/zenodo.18373025

Abstract

The growing complexity of international migration regulations necessitates robust technological solutions for personal document management. This paper presents the development and improvement of an automated system designed for monitoring visa validity and generating user notifications. Unlike traditional calendar-based applications, the proposed system integrates Optical Character Recognition (OCR) with an intelligent decision-making algorithm to extract data from passports and visa stickers with high precision. The research focuses on minimizing human error in tracking "duration of stay" and "validity period" distinctions. Experimental results indicate that the improved architecture significantly enhances data processing speed and alert accuracy, thereby reducing the risk of unintentional migration law violations.

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References

1. Gonzalez, R. C., & Woods, R. E. (2018). Digital Image Processing. Pearson.

2. International Civil Aviation Organization (ICAO). (2021). Machine Readable Travel Documents (Doc 9303), Part 3: Specifications Common to all MRTDs.

3. Abdullaev, S., & Karimov, B. (2024). "Algorithms for Automated Text Extraction in Identity Documents". Central Asian Journal of Computer Science, 12(4), 45-52.

4. Lui, J., & Zhang, Y. (2022). "Deep Learning Approaches for MRZ Recognition in Mobile Environments". IEEE Transactions on Pattern Analysis, 34(2), 112-125.

5. Smith, A. (2023). LegalTech: The Future of Automated Compliance. Oxford University Press.