This article explores reality capture (RC) technologies for digitizing real-world objects and environments, covering digitization methods, digital twins, and enterprise applications.

• Three digitization methods: LiDAR scanning, photogrammetry, and Neural Radiance Fields (NeRFs)
• LiDAR uses time-of-flight calculations to create point clouds; now available in handheld and smartphone formats
• Photogrammetry uses 40-250 photographs to build 3D models; faster and more accessible than LiDAR
• NeRF technology is emerging but produces artifacts; less mature than LiDAR and photogrammetry for enterprise
• 3D model optimization balances resolution with file size and processing power requirements
• Digital Twins combine 3D models with live data overlays for actionable insights and decision-making
• AWS IoT TwinMaker enables Digital Twin development with 3D scene visualization and data integration
• KCI case study: photogrammetry pipeline reduced processing time from 2 days to 1 hour for large-scale surveys
• Reality Capture adoption growing due to improved hardware, lower costs, and advanced analytics tools

Reality capture technologies are rapidly advancing, becoming more affordable and accessible, driving adoption across automotive, aerospace, construction, and infrastructure industries.