For the release of version 1.6 of the Zivid SDK, our primary focus is to make it easier to increase the performance of our 3D cameras.
3D hand-eye calibration
We now provide a 3D based hand-eye calibration for Zivid 3D cameras. This solution provides significantly better accuracy than comparable solutions using 2D based calibration.
Hand-eye calibration describes the transformation required to make a 3D camera and a robot work together successfully in one common coordinate system.
Two typical system configurations when performing Zivid 3D hand-eye calibration. The 3D camera can move with the robot arm, or capture the scene from a fixed (static) position relative to the robot arm.
The following two graphs show typical rotational- and translation errors as a function of the number of images used per calibration.
Zivid SDK 1.6 includes 3D calibration solutions outperforming comparable methods.
We believe using the calibration patterns and hand-eye calibration provided by the Zivid SDK drastically simplifies the process, and will significantly improve the transformation between the vision component and the robot arm's end-effector.