When we enter on Data and Measurement, we will find an area to filter and export data (explained on solution 4.1). 

  • Note: It is possible to edit values on our measurements, will be enough selecting Working data and changing Read mode to Edit mode. After these two steps, we are on the disposition of editing for example, incorrectly measured values on data detail.

  • Sample visualization:
    • Sample status: Kapture.io will show an ok, warning or ko status automatically. One incorrect check will be enough to have a NOK sample. Under the specific measured sample we will see a thin line with three different possible colors. Red (nok sample), orange (warning sample) and green (ok sample). 
    • Sample by decision: if our control is defined by final decision tags (OK, Rework and Scrap), Kapture.io will show you the sample status with an additional status tag. (image below)



  • Nominal - Deviation View: switch to visualize numeric data depending on our needs. For example, deviation view will be very useful if we want to analyze data measured by CMM.
  • Favourite checks filter: Select checks as favourite. Really useful filter if for example, we have a really long program with a lot of checks but we only need to focus on the most critical ones.  In this way, we only will see the favorite checks on our Kapture.io interface.
  • Sample Detail:
    • Serial Number: not mandatory.
    • Batch: not mandatory.
    • Measured Date: opening date of a specific control. The date we start running our control execution.
    • Measured Date - Hour: the exact time we start running our control execution. When we click on the play icon to start the control and the first page of our control opens. 
    • Manufactured Date - Hour: not mandatory.
    • Sample Time: time invested in part measurement. Time begins to count once we open the control until the sample is uploaded. 
    • Operator: this area represents who have done the measurement. Kapture.io automatically will take the Kapture.io user's name. Note: for generic Kapture.io users the most appropriate idea to control the traceability is using an additional attribute "Operator ID".
    • Machine: not mandatory.
    • Device: this area represents the execution resource used on our measurements (Kapture Win, Web or Quality Control).
    • Modified by:  registration of the responsible in case of data edition.
    • Modified date: date of the last data edition.
    • Comments: not mandatory. Here we can check the attached comments in relation to our measurement. If a comment is available the icon will be displayed with a green color. If we are on Working data and Edit mode, we are able to add comments after the measurement is uploaded to the platform.
    • Files: not mandatory. Here we can check the attached pictures in relation to our measurement. If a picture is available the icon will be displayed with a green color.  If we are on Working data and Edit mode, we are able to add pictures after the measurement is uploaded to the platform.

  • Sample Pop-Up (Sample Summary):
    • Archive Measurement: Select the Folder icon (on the right top area of the pop-up). Automatically this sample will be archived (not deleted). Doing this, we delete this sample from the control statistics. 
    • Serial Nº and Batch.
    • Operator - Control executor.
    • Date and hour: When the measurement have been uploaded to the platform.
    • Measurement summary: a quality status summary. 
    • Export data: Quick Report and DMO.

  • Attributes: analysis the data related to our previous definition of the program area. All the information attributes values will appear here.


.Filter by different information and fields


 


  • General Checks: All the measured checks will appear here. Numerical data, boolean checks, etc.



  • Cosmetic Checks: if cosmetic checks have been defined, a new area call "Defects" will appear. This area is only to analyze cosmetic checks and as we can see in the attached picture, the way of analyzing data is a little bit different from General Checks. Here the number of defects detected and the exact position in the grid can be seen.