3D Scanner

3D scanning opens up a world of possibilities. Imagine being able to capture anything in the physical world, and have a digital model of it in minutes.

You don’t have to imagine. Every day, thousands of companies are using 3D scanners and software to:

·         Create CAD models of real parts to capture lost designs, update existing products and make new ones

·         Verify product quality by comparing manufactured parts to CAD designs

·         Make mass customized products for health care, dentistry and fashion

·         Scan entire buildings to create accurate 3D models

·         And much more

This is not science fiction. 3D scanners and accompanying software are now within the reach of many. Scanners are faster, less expensive and more accurate. 3D scan processing software is more automated, creates better results, and works faster than ever before.

What Are 3D Scanners?

There are many different devices that can be called 3D scanners. Any device that measures the physical world using lasers, lights or x-rays and generates dense point clouds or polygon meshes can be considered a 3D scanner. They go by many names, including 3D digitizers, laser scanners, white light scanners, industrial CT, LIDAR, and others. The common uniting factor of all these devices is that they capture the geometry of physical objects with hundreds of thousands or millions of measurements.

Why Do I Need 3D Scanning Software?

Because scanners collect immense amounts of data, dedicated software like Geomagic is needed to process the output into something usable that other software can handle. Depending on what the scan data will be used for, Geomagic can do many different things to the data. The most common applications for 3D scanning are reverse engineering, inspectionand digital archiving or 3D printing. Dedicated software like Geomagic is the fastest, easiest way to unlock the full potential of a 3D scanner.

How Do 3D Scanners Work?

There are many different approaches to 3D scanning, based on different principles of imaging. Some technologies are ideal for short-range scanning, while others are better for mid- or long-range scanning.