The article identifies and analyzes factors that influence 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 information infrastructure. The quality of the sensors determines the degree of detail and reliability of the initial data; devices with low accuracy can cause delay, drift or jitter, which negatively affects 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 multicanality interference, signal jamming or sensor noise resulting in mismatch between 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 in contrast and disruption of object detection algorithms, which requires the use of reliable computer vision techniques. The article proposes a solution to problems that improves the quality of augmented reality content and is key to the creation and development of AR systems.