{"id":95588,"date":"2023-01-16T16:51:20","date_gmt":"2023-01-16T08:51:20","guid":{"rendered":"https:\/\/www.tm-robot.com\/docs\/how-to-improve-ct-in-vision-pick-and-place-project\/"},"modified":"2023-08-08T11:19:13","modified_gmt":"2023-08-08T03:19:13","slug":"how-to-improve-ct-in-vision-pick-and-place-project","status":"publish","type":"docs","link":"https:\/\/www.tm-robot.com.cn\/zh-hans\/docs\/how-to-improve-ct-in-vision-pick-and-place-project\/","title":{"rendered":"How to improve CT in vision pick and place project?"},"content":{"rendered":"
Examples are valid for:<\/p>\n
TMflow Software version: all versions<\/p>\n
TM Robot Hardware version: All versions.<\/p>\n
Other specific requirements: None<\/p>\n
Note that older or newer software versions may have different results.<\/p>\n
<\/p>\n
Currently, only fixed-point positioning and partial AOI (Area of Interest) functionality are supported.<\/strong><\/p>\n Shot then Go enables the robot to proceed to the next node directly after take a picture for the vision job, once the vision job computation has been successfully completed, the robot will execute the next task\u00a0 within the vison base . This approach effectively reduces the waiting time after take a picture for the vision job.<\/p>\n <\/p>\n<\/a><\/p>\n