
3D scanning the Richmond–San Rafael Bridge with Artec Leo
The 5-lane bridge serves an estimated 80,000 cars daily, and towers 185 feet (56 m) above the San Francisco Bay. With Artec Leo fully operational without cables, wires, or the need for computers or other equipment during scanning, all data required was easily and fully captured with minimal disruption to traffic.
Technical Specifications
Performance
Properties
Compatibility
Output & Power
Performance
Accuracy & Resolution
Field of View
3D point accuracy, up to: 0.1 mm
3D resolution, up to: 0.2 mm
3D accuracy over distance, up to: 0.1 mm + 0.3 mm/m
Capture Rate
3D reconstruction rate for real-time fusion, up to: 22 fps
3D reconstruction rate for 3D video recording, up to: 44 fps
3D reconstruction rate for 3D video streaming, up to: 80 fps
Data acquisition speed, up to: 35 million points/s
3D exposure time: 0.0002 s
2D exposure time: 0.0002 s
Field of View
Working distance: 0.35 – 1.2 m
Volume capture zone: 160,000 cm³
Linear field of view, H×W @ closest range: 244×142 mm
Linear field of view, H×W @ furthest range: 838×488 mm
Angular field of view, H×W: 38.5×23°
Texture
Ability to capture texture: Yes
Texture resolution: 2.3 mp
Colors: 24 bpp
Ability to use Photo Texture: Yes
Properties
Hardware
Position sensors: Built-in 9 DoF inertial system
Display/touchscreen: Integrated 5.5" half HD, CTP. Optional: Wi-Fi/Ethernet video streaming to external device
Multi-core processing: Embedded processors; NVIDIA® Jetson™, TX2 Quad-core ARM® Cortex®-A57 MPCore Processor, NVIDIA Maxwell™ 1.33 TFLOPS GPU with 256 NVIDIA® CUDA® Cores
Internal hard drive: 512 GB SSD
Display/touchscreen: Integrated 5.5" half HD, CTP. Optional: Wi-Fi/Ethernet video streaming to external device
Multi-core processing: Embedded processors; NVIDIA® Jetson™, TX2 Quad-core ARM® Cortex®-A57 MPCore Processor, NVIDIA Maxwell™ 1.33 TFLOPS GPU with 256 NVIDIA® CUDA® Cores
Internal hard drive: 512 GB SSD
Algorithms
HD Mode: Yes
Hybrid geometry and texture tracking: Yes
Data processing algorithms: Geometry and texture based
Auto background removal: Yes
Light Source
3D light source: VCSEL
2D light source: White 12 LED array
Dimensions
Dimensions, HxDxW: 231×162×230 mm
Weight: 2.6 kg/5.7 lbs
Compatibility
Supported OS
Minimum computer requirements
Scanning: No computer required
Data processing: Windows 8.1, 10 (x64), Windows 11
Recommended computer requirements
Intel Core i7 or i9, 64+ GB RAM, NVIDIA GPU with 8+ GB VRAM, CUDA 6.0+
Minimum computer requirements
HD: Intel Core i7 or i9, 32 GB RAM, NVIDIA GPU with CUDA 6.0+ and at least 4 GB VRAM
SD: Intel Core i5, i7 or i9 and 32GB RAM, GPU with 2 GB RAM
Output & Power
Output formats
Interface mode
3D mesh formats: OBJ, PLY, WRL, STL, AOP, ASC, PTX, E57, XYZRGB
3D point cloud formats: BTX, PTX
CAD formats: STEP, IGES, x_t
Formats for measurements: CSV, DXF, XML
Interface mode
Wi-Fi, Ethernet, SD card
Power Source
Built-in exchangeable battery, optional AC power