Abstract
<jats:p>This study identifies and analyzes the factors influencing the formation, functioning, usability, and efficiency of augmented reality (AR) systems. The first group of factors is determined by the technical characteristics of the system and the information infrastructure. The quality of the sensors determines the degree of detail and reliability of the initial data; devices with low accuracy can cause delays, drift, or jitter, which negatively affect the stability of the virtual object. Accurate positioning and tracking depend on GPS signals, visual-inertial odometry, or marker-based systems that can be affected by multichannel interference, signal jamming, or sensor noise, resulting in a mismatch between the physical and virtual worlds. Network bandwidth limitations affect real-time data streaming, cloud rendering, and multi-user synchronization, and unreliable connections result in skips or delays. The second group of factors refers to environmental conditions. Fluctuations in lighting can cause noise, decrease contrast, and disrupt object detection algorithms, which require the use of reliable computer vision techniques. This study proposes a solution to problems that improves the quality of augmented reality content and is key to the creation and development of AR systems.</jats:p>