Hi community,
We’re a team working on camera calibration for computer vision and robotics applications.
Our technology enables metrological-quality calibration, providing accuracy and reliability beyond standard OpenCV methods.
Some key features:
- We use a method based on active targets and a machine-learning-inspired workflow, allowing us to achieve consistently lower calibration errors (up to 2–4 times lower forward/reprojection error than OpenCV, even for mass-produced or wide-angle cameras).
- The process is flexible and suitable for various camera types (standard, wide-angle, fish-eye, and even exotic optics).
- We generate a Forward Projection Error (FPE) chart (heatmap) for each camera.
- Calibration can be tailored to your specific end task (e.g., robot localization, measurement, 3D reconstruction).
Questions:
1. Would you be interested in purchasing pre-calibrated cameras with calibration accuracy proven to be better than OpenCV’s results?
2. For which applications would this level of accuracy and certification be most valuable?
3. What, in your opinion, would be a reasonable price premium for a camera with such calibration and quality analytics included?
Any feedback or comments on needs, pain points, or desired features are welcome.
Thanks in advance!