Generate Drift Correction Model
Input and Output
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Input:
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Pre-Drift Poses: Typically refers to the marker poses generated during the deployment of the drift correction solution.
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Post-Drift Poses: Typically refers to the marker poses with an accuracy drift after the deployment of the drift correction solution.
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Output:
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Drift Correction Model: A model generated based on the pre-drift and post-drift marker poses, used to correct the accuracy drift of the vision system.
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Parameter Description
- Drift Correction Type
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Description: Select the type of correction used to correct the accuracy drift in the vision system.
Value list: EIH, ETH (Standard), ETH (Special)
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EIH: Suitable for vision systems where the camera is mounted in the EIH mode.
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ETH (Standard): Suitable for vision systems where the camera is mounted in the ETH mode and the distance between the lower limit of the calibration sphere and the lowest target object is less than or equal to 200 mm.
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ETH (Special): suitable for vision systems where the camera is mounted in the ETH mode and the distance between the lower limit of the calibration sphere and the lowest target object is greater than 200 mm.
Default value: EIH
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