Available range of measures
| Number of encoding bits | 8 bits | 8 bits | 12 bits |
| Physical period | 6 µm | 140 µm | 9 µm |
| Range of measure | 4.6 x 4.6 mm² | 10.7 x 10.7 cm² | 11.06 x 11.06 cm² |
| Recommended microscopy objective | 20x | macro lens | 10x or 20x |
| Minimal required field of view | 0.18 x 0.18 mm² | 4.2 x 4.2 mm² | 0.45 x 0.45 mm² |
Achievable resolutions
| Noise level | Translation | 0.57 nm | 20 nm | 0.57 nm |
| Rotation | 1 µrad | 1 µrad | 1 µrad | |
| Minimal detected step | Translation | < 2 nm | 70 nm | < 1 nm |
| Rotation | 5 µrad. | 5 µrad. | 5 µrad. | |
| Linearity error | Translation | 1.15 % | ||
| Rotation | 0.004 % |
Computation time
This benchmark of computation time required to perform the pose measurement has been made with the setup presented below:
- Processor i7-6700HQ at 2.6 Ghz
- 16 Go of RAM
- Graphic card Nvidia GTX 960M
The following table presents the measured time to compute a pose measure with different methods available in the Vernier Library with different size of images given in input.
| Method used | 2048 x 2048 | 1024 x 1024 | 512 x 512 | 256 x 256 |
| Periodic Pattern Detector | 568.87 ms | 140.15 ms | 35.812 ms | 7.59 ms |
| Bitmap Pattern Detector (2π unambiguous) | 2774.9 ms | 693.06 ms | 163.50 ms | 41. 06 ms |
| QRCode Pattern Detector | 617.64 ms | 147.19 ms | 38.14 ms | |
| Megarena Detector | 296.56 ms | 58.9 ms | 13.74 ms |
Another benchmark made with a slighty more performant machine has also been made. The machine caracteristics are listed below:
- Processor i7 at 3.7 GHz
- 32 Go of RAM
- Graphic card Nvidia GTX 1080
With this setup, the following results are measured:
| method used | 2048 x 2048 | 1024 x 1024 | 512 x 512 | 256 x 256 |
| Periodic Pattern Detector | 416.4 ms | 110.78 ms | 22.97 ms | 6.4 ms |
| Bitmap Pattern Detector (2π unambiguous) | 1833.28 ms | 467.81 ms | 109.07 ms | 27.19 ms |
| QRCode Pattern Detector | 478.59 ms | 117.18 ms | 29.07 ms | |
| Megarena Detector | 694.53 ms | 173.59 ms | 38.44 ms | 10.32 ms |
