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The aim of the super-resolution reconstruction (SRR) techniques is to improve the quality and increase the resolution of images (upscale images) while restoring as many details as possible from the source image. Additional goals include: preserving sharp edges, limiting the number of unwanted image distortions after the transformations, producing a visually appealing image.

Kameleon is a system designed for the automatic optimization of vehicle sensor configuration, reliability assessment, and multimodal sensory data analysis using machine learning techniques.

Platform 4.0 is designed for creating interactive training and service instructions for machines and technical equipment using AR, VR, and MR technologies.