Topic: Improving Picking Accuracy
In actual production environments, after the 3D vision–guided applications run for a certain period, issues such as "robot picking inaccuracy" may sometimes occur. This issue indicates a decrease in the application’s picking accuracy, and that the picking errors have exceeded the picking accuracy requirements of the project.
This topic aims to guide you in improving picking accuracy during the application deployment to meet the project’s accuracy requirements, and troubleshooting the "robot picking inaccuracy" issue in the stable production stage.
Learn about Picking Accuracy
Introduces the concepts related to picking accuracy and various sources of picking errors.
Introduces the concept and meaning of picking accuracy, and clarifies misunderstandings about picking accuracy and picking errors.
Ensure Qualified Picking Accuracy
During the actual application deployment, you can refer to this section to ensure that the application’s picking accuracy meets the project accuracy requirements.
Introduces the approach to ensuring that the picking accuracy of the application meets the accuracy requirements of the project. At every stage of application deployment, targeted accuracy assurance or improvement measures are required.
Troubleshoot Picking Errors
In the stable production phase following the delivery of the vision system, you can refer to this section to troubleshoot the issue of inaccurate picking on the site. This involves quickly identifying the primary sources of errors and correcting them.