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Quality Control in PIX4Dcatch

The Quality Report feature allows users to assess the quality of a capture immediately after acquisition and before saving the project. This enables in-field evaluation of data quality and the option to redo a capture if needed, eliminating the need to return to the office to review results.

 

How it works

After completing a capture, a summary screen appears displaying:

  • The project name
  • Two tabs: 3D and Report
  • The Save button

   

3D view

The 3D View tab displays all captured images along with their corresponding RTK/GPS measurement points.

If the project was captured using an RTK device, the following accuracy indicators are shown:

          red dot Low: >6 cm

          orange dot Reduced: 3-6 cm

          green dot Optimal: < 3 cm

Note: The thresholds vary depending on the GPS or RTK device. 

Additional tools available in this view:

  • Zoom icon center icon : Centers the 3D model on the screen.
  • Layers icon layers icon : Expand to modify the point cloud and image layers.
  • Pencil icon  pencil icon : Edit the project name.

Report

The Report tab summarizes the quality of the capturebased on several several parameters. Each section provides key metrics and, where applicable, improvement tips.

     report menu

Images

Displays the total number of images and the percentage of images with optimal quality.
Tips for improving image quality are shown at the bottom of the section.

      images report

Geolocation

Shows the geolocation source used during capture:

  • no location icon NO LOCATION:  No geolocation information was acquired for the images.
  • exclamation icon  GPS: The images were captured using the device’s integrated GPS receiver, providing low positional accuracy.
  • valid icon  RTK:  The images were captured using an RTK receiver, providing high positional accuracy.

    geolocation optimal

When working with RTK accuracy, the parameters are divided into two subcategories: Optimal accuracies and Consecutive bad accuracies.

Optimal accuracies are split into three ranges: 

  • optimal icon  optimal 90-100% 
  • reduced icon reduced 50-90%
  • low icon low 0-50%

Consecutive bad accuracies are split into two ranges: 

  • optimal icon  Optimal  0-50 accuracy samples
  • reduced icon  Reduced +50 accuracy samples


    geolocation save preview

Autotags

Displays the number of Autotags detected, along with the number of GCPs (if applicable) and how many were successfully recognized.

  • optimal icon  A green check indicates all GCPs were recognized.
  • error icon A red icon indicates that some GCPs were not recognized.

    autotags report     autotags save report


Annotations

Indicates the number of annotations.

     annotations

 

Saving the Project

If all parameters meet the quality requirements of the project, tap Save to save the project. If the parameters do not meet the requirements, you can return to continue capturing, or abandon, the project by tapping the close button close button.

       save capture