Pointly beginners Guide - Video Series.

Welcome to the Pointly Beginners Guide! In this video series, we will show you how to automatically and manually classify your 3D point clouds using Pointly. We will guide you through the entire platform and demonstrate the complete Pointly toolset.

If you would like to follow this video series and do not yet have a Pointly account, you can create a Free Account here.

Part 1: Let's Begin

In this video, we will show you how to create a new project and a class catalog for your classification project. This is your start in 3D point cloud analysis and you can simply get started with a Free Account.

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Part 2: The Upload

In this video you'll learn how to upload your 3D point clouds to the Pointly platform. We will explain the different preprocessing options and what you need to consider when choosing one of our automatic classifiers.
Pointly offers a range of Standard Classifiers for use cases such as Airborne Laser Scans, Mobile Mapping of Highways or Mobile Mapping of City Inventories and can be used to classify large surveys fully automatically.

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Part 3: The Viewer

In this video you'll learn the basics about the Pointly viewer. For example, we'll explain the general layout of the viewer and show you how to examine different dimensions and switch between various views.

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Part 4: Manual Classification

In this video we'll show you how to use the manual classification tools in the Pointly platform to classify your point clouds. Additionally, you’ll learn how to correct the automatic classification of your point clouds or add new classes manually which are not part of the automatic classification.

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Part 5: The Export

In this video we will guide you through the process of exporting your results from the Pointly platform. You can download single files or make use of the bulk download feature.

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Please contact us at support@pointly.ai if you have any support requests or further questions.

Please contact us at support@pointly.ai if you have any support requests or further questions.