Unreal Engine Meets Computer Vision: Technological Evolution and Trends

This study examines the integration of Unreal Engine with computer vision technologies and emphasizes its evolution from a game engine into a platform that supports synthetic data generation and real-time simulation.Tools such as UnrealCV, CARLA, and OmniSCV have advanced the automation and efficiency of high-quality synthetic data generation, which has been applied to areas such as autonomous driving, robotic vision, and smart city planning.This study provides a structured analysis of the technological progression of Unreal Engine and emphasizes its applicability in diverse research and industrial contexts.Unreal Engine's customizable environments and advanced rendering capabilities help to overcome challenges in real-world data collection while they enable cost-effective and scalable solutions.This study can expand to make a comparison with other game engines and performance evaluations between synthetic and real-world data.