Developed a mobile-friendly RGB-D depth-based cargo height estimation system using center-guided segmentation and local ground-aware fusion (CGF-Height). Designed for real-time deployment on iOS devices with LiDAR/TrueDepth sensors via a HeightScanner API. The system processes depth maps to segment cargo regions and estimate height with ground-plane awareness.