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Guides Technology Tech Trends in Machine Vision

Tech Trends in Machine Vision

Published on 05/29/2017 | Technology

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IoT ONE

Accelerating the Adoption of Industrial Internet of Things.

IoT GUIDE

The latest generation of hardware and software can achieve high speed three-dimensional analysis. In many ways this drives a virtuous circle of improvements and adoption as Forbes.com (Reference 1) observes “the rapid advancement of machine vision technology as the main reason companies seem to be buying more equipment. Companies can now buy cameras the size of quarters that can capture and process high-quality footage that just three years ago wouldn’t have been possible.” Better vision systems increase use in manufacturing applications, and increased demand spurs vision system suppliers to improve their products.

Another newsworthy and relevant application of machine vision is for self-driving cars and unmanned vehicle (drone) operations. These represent a much more cutting-edge application of vision than is used by manufacturing industries, but the underlying principles and needs are the same. Although manufacturing applications aren’t widespread just yet, drones are being used now to perform inspections of assets such as electrical transmission lines (Figure 1, Reference 2), and can be deployed for inspection of other assets such as pipelines, tank farms, and water/wastewater distribution and collection systems.

This White Paper will address the latest technology trends in machine vision and show how these trends are providing benefits to manufacturers worldwide. High performance hardware options are making it easier than ever to install vision systems and different networking architectures have emerged to best serve a wide variety of diverse applications. Standards are emerging to ease integration, and software is becoming easier to set up and use.

 

You can read and download the full report on Advantech here

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