Release of new feature ‘Object detection’

In the ever-evolving landscape of point cloud technology, efficiency and precision are paramount. At the forefront of this evolution stands Pointorama, our cutting-edge point cloud platform that continues to push the boundaries of what’s possible.

Today, we’re excited to shine a spotlight on one of its powerful features: ‘Point Clustering’ or ‘Object detection’.

Point Clusteren - Automatic object detection - Pointorama

Understanding ‘Object detection’

Point Clustering, a new feature of Pointorama, simplifies the intricate process of data organization in just a few clicks. During the import process, Pointorama goes beyond mere data organization – it detects objects. This detection involves recognizing individual points and grouping them based on their association with the same object or part of an object.

With Pointorama, you have the freedom to label data manually rather than relying on automatic processes. This gives you control over how your data is organized. By clustering on segment level instead of point level, users enable efficient organization with just a few simple clicks. Points that belong to the same object or share a common attribute can seamlessly identified and grouped. This not only enhances data visualization but also facilitates smoother data analysis, empowering users to derive valuable insights with ease.

Clean and classify object in Pointorama

Unlocking the benefits of object recognition

In Pointorama, point clustering and object recognition empowers users with unparalleled control and flexibility. Here’s how it works:

  • Visibility control: once clusters or objects are created, users have the ability to toggle their visibility. This means you can choose to hide or highlight clusters that are not currently relevant or visible, reducing clutter and enhancing focus.
  • Classifying objects: with point clustering, users can effortlessly select, cluster and classify different objects or parts of objects. This functionality streamlines the visualization and management of complex datasets, enabling users to focus on what matters most.
  • Customization options: point clustering offers extensive customization capabilities beyond mere organization. Users have the freedom to choose which points or objects they want to cluster, allowing them to tailor the clustering process to their specific needs. Whether it’s grouping buildings, trees, or even flower pots, Pointorama empowers users to organize their data in a way that makes sense for their projects. This flexibility not only provides valuable context but also enhances data analysis capabilities by allowing users to focus on the elements that are most relevant to their objectives.
Object recognition - Point clouds - Pointorama

Enhancing workflow efficiency

The benefits of point clustering extend far beyond mere organization. By streamlining data visualization and management, this feature significantly enhances workflow efficiency. With clusters, classes and objects at their fingertips, users can navigate even the most complex datasets with ease, making informed decisions and driving project success.

Point clustering and object recognition in Pointorama

Driving innovation forward

At Pointorama, we’re committed to pushing the boundaries of innovation – and object recognition is just the beginning. As technology continues to evolve, we remain dedicated to providing our users with the tools they need to stay ahead of the curve. With features like point clustering, the possibilities are endless.

Ready to experience point clustering?

Are you ready to unlock the full potential of your point cloud data? With Pointorama’s point clustering feature, you can take control of your datasets like never before. Whether you’re a seasoned professional or just getting started, Pointorama empowers you to achieve more.

Experience the power of Point Clustering for yourself – try Pointorama today!

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