Ready for the most demanding 3D machine vision tasks!

Industry’s leading 3D reconstruction sensor based on fringe technology, high resolution, low noise, fast processing with integrated GPU, passive cooling, lightweight, durable carbon body and a unique, powerful laser projection.

 

 

Large depth of scan

Extended depth of field makes it easy to scan the entire volume of a lattice box or capture any similar sized objects.

 

High accuracy

Devices are carefully calibrated for the entire scanning range. The carbon body ensures a minimal thermal expansion.

Robust performance

Advanced methods for suppression of ambient light provide a superior quality even in challenging light conditions.

Easy integration

Setup ready in 3 minutes. Easy connection over Ethernet. Advanced API and simple integration (Halcon).

 

Specifications

 

Average scanning volume:
120 x 80 x 20 mm.

 

 

 

 

Datasheet

Parameter Resolution Scanning range Optimal scanning distance (focus) Scanning area (at focus distance) Point to point distance (at focus distance) Calibration accuracy Temporal noise Scanning time Dimensions Baseline Weight 3D points throughput GPU

Value Up to 3.2 Million 3D points 161 – 205 mm 181 mm 118 x 78 mm 0.065 mm < 0.035 mm < 0.030 mm 250 – 2000 ms 77 x 68 x 296 mm 85 mm 900 g 16 Million points per second NVIDIA Maxwell™ 1 TFLOPS with 256 NVIDIA® CUDA® Cores

 

Average scanning volume:
360 x 290 x 70 mm.

 

 

 

 

Datasheet

Parameter Resolution Scanning range Optimal scanning distance (focus) Scanning area (at focus distance) Point to point distance (at focus distance) Calibration accuracy Temporal noise Scanning time Dimensions Baseline Weight 3D points throughput GPU

Value Up to 3.2 Million 3D points 384 – 520 mm 442 mm 360 x 286 mm 0.174 mm < 0.050 mm < 0.050 mm 250 – 2250 ms 77 x 68 x 296 mm 230 mm 900 g 16 Million points per second NVIDIA Maxwell™ 1 TFLOPS with 256 NVIDIA® CUDA® Cores

 

Average scanning volume:
600 x 420 x 450 mm.

 

 

Datasheet

Parameter Resolution Scanning range Optimal scanning distance (focus) Scanning area (at focus distance) Point to point distance (at focus distance) Calibration accuracy Temporal noise Scanning time Dimensions Baseline Weight 3D points throughput GPU

Value Up to 3.2 Million 3D points 458 – 1118 mm 650 mm 590 x 421 mm 0.286 mm < 0.100 mm < 0.100 mm 250 – 2500 ms 77 x 68 x 416 mm 350 mm 950 g 16 Million points per second NVIDIA Maxwell™ 1 TFLOPS with 256 NVIDIA® CUDA® Cores Scanning range

 

Average scanning volume:
1100 x 800 x 900 mm.

 

 

Datasheet

Parameter Resolution Scanning range Optimal scanning distance (focus) Scanning area (at focus distance) Point to point distance (at focus distance) Calibration accuracy Temporal noise Scanning time Dimensions Baseline Weight 3D points throughput GPU

Value Up to 3.2 Million 3D points 870 – 2150 mm 1239 mm 1082 x 802 mm 0.524 mm < 0.200 mm < 0.190 mm 250 – 2750 ms 77 x 68 x 616 mm 550 mm 1100 g 16 Million points per second NVIDIA Maxwell™ 1 TFLOPS with 256 NVIDIA® CUDA® Cores

 

Average scanning volume:
2300 x 1600 x 1300 mm.

 

 

Datasheet

Parameter Resolution Scanning range Optimal scanning distance (focus) Scanning area (at focus distance) Point to point distance (at focus distance) Calibration accuracy Temporal noise Scanning time Dimensions Baseline Weight 3D points throughput GPU

Value Up to 3.2 Million 3D points 1680 x 3780 mm 2326 mm 1954 x 1509 mm 0.947 mm < 0.500 mm < 0.400 mm 250 – 3000 ms 77 x 68 x 941 mm 850 mm 1200 g 16 Million points per second NVIDIA Maxwell™ 1 TFLOPS with 256 NVIDIA® CUDA® Cores

 

https://www.photoneo.com/phoxi-3d-scanner/