This paper presents a comparative analysis of modern super-resolution (SR) methods for improving the accuracy of face recognition in video surveillance systems. The low quality of images obtained from surveillance cameras is a significant obstacle to effective person identification, making the use of SR methods particularly relevant.
Considering dynamic changes in the aviation sector, successful data exchange and integration planning plays a pivotal role in maintaining operational efficiency of airlines. Although the SSIM (Standard Schedules Information Manual) file is considered a reliable format, it has certain limitations regarding interaction and compatibility with other web technologies and programs due to its text format strictly defined by the specification. In this work, we propose an approach to convert SSIM files into the JSON (JavaScript Object Notation) format.