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Gathering Interest

Tranning: Cognite Advanced 3D Model Contextualization

Related products:Academy Trainings
  • December 17, 2024
  • 4 replies
  • 47 views
Mithila Jayalath
Bert Verstraete
+9
  • Mithila Jayalath
    Mithila Jayalath
  • Bert Verstraete
    Bert Verstraete
  • Lucas Rosa Alves
  • Lucas Leocardo Araujo
  • Giovanna Luna Rosseto
  • Andre Alves
    Andre Alves
  • Gabriel Souza Campos
  • Aline da Costa Vasconcelos
  • Pedro Machado
  • Luciana Martins Arêas da Costa
  • joaomacedx
    joaomacedx
  • Elcio Cardoso da Silva
    Elcio Cardoso da Silva
  • André Luis Nunes Chagas
  • Victor Hugo Machado da Silva

Andre Alves
MVP

Develop an advanced training program to equip users with skills for contextualizing point cloud data, focusing on both detected and undetected objects. The training should address gaps in traditional modeling approaches by providing practical, hands-on experience with diverse scenarios.
 

Challenges Addressed:

  • Limited automation in object detection, requiring significant manual effort.
  • Difficulty in contextualizing objects that remain undetected in raw point cloud data.
  • Inability to handle diverse and complex industrial scenarios effectively.

Hands-On Examples and Exercises:

 

  • Detected Objects:

    • Import and preprocess a point cloud dataset.
    • Use AI-driven tools to identify and classify detected objects.
    • Automatically link detected objects to an asset hierarchy, metadata, or P&ID diagrams.
       
  • Undetected Objects:

    • Demonstrate manual workflows for identifying undetected objects within the point cloud.
    • Tag, classify, and link undetected objects using the training interface.
    • Show how to create relationships between manually contextualized objects and other datasets


Use examples from different industries (oil & gas, manufacturing, energy, etc.) to cover various asset types.
Include examples of objects partially occluded, poorly defined, or from atypical asset classes.

 

Resource Materials:

  • Develop a library of sample datasets, best practices, and case studies for ongoing reference.

4 replies

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Hi ​@Andre Alves and thank you for taking the time to submit this product idea.

I’ve asked one of our Product Managers to take a look and update this thread with plans/questions/updates as we process the idea.


Thanks for input ​@Andre Alves.

We are working on an Academy course for Configuration of 3D, not limited to Point Cloud contextualization. This will come H1 2025.

Although your ideas on the resource materials are highly desirable on our end as well, and something we strive for. We are limited in that we do not have access to data that can be shown and used publicly. It is a challenge we are trying to tackle, I have worked for 1,5 year to get a better demo environment up and running. So I can not promise anything on that part. But if we manage to solve it, I will be sure to announce it. 


Mithila Jayalath
Seasoned Practitioner
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NewGathering Interest

Andre Alves
MVP
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  • Author
  • MVP
  • 138 replies
  • January 27, 2025

Thanks for the update, ​@Ragnhild Byrkjeland !

I understand the challenges involved in setting up a demo environment for training purposes.

The 3D Modeling topic is especially important to us as we discuss scaling up our team in this discipline. Ensuring we have robust training in this area will help address key gaps and prepare our professionals for the complexities of 3D contextualization.

 


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