Auto-Correct Accuracy Drift in ETH Vision System
Introduction
After completing the deployment, this feature ensures the stability of the vision system during long-term continuous operation in an eye-to-hand (ETH) setup, thereby reducing maintenance costs.
Reading Guide
Before deployment, select the robot model in the Deployment wizard area on the home page of the Auto-correct accuracy drift in ETH vision system tool. Select Auto or Manual under Deployment method and robot control mode, then click Start deployment.
The two methods differ mainly in how image-capturing points are validated during deployment. Automatic deployment validates the reference point first, then uses a robot program to validate each point in sequence. Manual deployment requires you to move the robot to each point manually and validate the points one by one.
Read the deployment process corresponding to the selected method.
Read the following chapter to learn how to use the drift correction feature.