Learning the basics: 3D Machine Vision Software

1. Introduction 
2. Why 3D machine vision?
3. 3D machine vision software
4. How to capture high-quality point clouds 
5. 3D machine vision SDK 
6. Case studies 
   Dealing with strong ambient light Dealing with highlights and shiny objects 
   Dealing with imaging at large distances 
7. Conclusion 

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Introduction

The global 3D machine vision market is anticipated to grow at a CAGR of 9.4% from 2020 to 2025 (source). As more companies look for automation solutions, an advanced machine vision system’s demand increases to enable automatic picking, depalletizing, and inspection operations accurately, safely, and efficiently.

The 3D machine vision system meets the tough requirements of the vision-based robot applications by using three-dimensional information.

In this eBook, you will learn about 3D machine vision software and how it makes a 3D camera more powerful, flexible, and continuously evolving.

The first part of the book explains where 3D machine vision system outperforms 2D solutions. Next, we cover the basics of 3D software features and how to use them to get high-quality 3D point clouds using various examples.

We touch upon the importance of a modern SDK (Software Development Kit) and keeping your 3D camera evolving. Lastly, we present three case studies on how common machine vision challenges are solved.

Please note that all the product features and examples in this eBook are based on the Zivid One+ industrial 3D cameras and supporting software tools.

We hope you understand the importance of the 3D machine vision software offering and support when selecting a 3D camera. You should also be able to apply some of the tips and advice from this eBook to your own automation.

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