Camera calibration
The Camera Calibration tool in Vozilla lets you generate and save a calibration file (camera intrinsic) for your camera. A good calibration improves the accuracy of Cyclops tracking and reduces distortion, especially near the edges of the image.
What you need
A 7×8 asymmetric circle grid calibration target, found below.
For thermal cameras, we have found it works best to 3D print the grid and place it on a uniform warm surface so the target is clearly visible. A .STEP file for this grid can be found below.
Placing the 3D print against a monitor works well for thermal cameras, providing a consistent warm background.
Capture calibration images
Connect your camera and open the Camera Calibration page.
Use Capture Frame to record images of the detected grid.
Move the target through a variety of:
angles (tilt and rotate)
positions (across the full frame, including corners)
distances (close, medium, far)
For best results, capture 20+ frames in which the pattern is cleanly detected.
If your target is white dots on a black background, enable Inverted Pattern so detection works correctly.
Compute and save
After capturing enough frames, Vozilla will prompt you to compute the calibration. Save it using the default name or a descriptive name (helpful if you switch cameras or lenses later).
Verify quality
Use the Distortion toggle (bottom-right of the camera view) to compare the calibrated image to the raw image. A good calibration should reduce warping and keep lines and features looking consistent across the frame.
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