High Precision Positioning

A high precision positioning is required in many scenarios, such as wheel hub positioning, tire tightening, and gearbox assembly in automotive industry. However, robots cannot directly receive high-precision position information of objects in the process for traditional automated manufacturing. Therefore, human intervention cannot be avoided, which results in reduced efficiency.

To solve this problem, Mech-Mind Robotics provides vision recognition results and 3D vision positioning technology enabling multi-model matching, which can obtain the precise three-dimensional pose information of objects and therefore improve the efficiency of high-precision assembly.

Instructions for Creating a New Typical Application Project

Create Project

Click on Typical Applications ‣ New Typical Application Project in the Menu Bar or New Typical Application Project in the Toolbar to open the following window.

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  1. Select High Precision Positioning.

  2. Name the project.

  3. Click on icon_selectfilepath_deploymentguidance to select a folder to save the project (it is recommended to create an empty folder), then click Create Project .

Model Point Cloud Creation

After deploying the project, please complete the following preparation:

Hint

For instructions on model point cloud creation, please see Matching Model and Pick Point Editor.


Running and Debugging


After successfully running and debugging the project, if you need to save the on-site data for future reference or you find that certain part of the project is not performing well and would like to optimize the Step or tune the parameters in an off-site situation, the tools Data Storage and Data Playback can be very useful.

Prerequisites for using the tool Data Playback:

  1. A project file in which the project can run correctly without errors.

  2. On-site source data which is gathered during the whole period while running the project, including 2D color images, depth maps, camera parameter file. Please refer to Data Storage for instructions on how to save the data.