Quality Control and Error Prevention in Food Packaging

Having a wrong label on a can of food, or a wrong lid on a cup of margarine, could have serious consequences to the manufacturer and the retailer, as well as the consumer. An automatic identification solution using 1D and 2D barcodes is a reliable way to improve quality control in the food packaging process, ensure safety and to avoid human errors.

New Report Global Industrial Control & Factory Automation Market Forecast Till 2016 Published by MarketsandMarkets

The factory automation market is expected to grow from $120.0 billion in 2010 to $185.0 billion in 2016, at a CAGR of 7.58% from 2011 to 2016.

Fundamentals of Industrial Robotics: Factory Solutions

ATI Sponsors Free RIA Webinar April 12th, 2012

Vistrian, Inc. announces the addition of NuvoSun to our growing solar manufacturing customers purchasing Vistrian's FactoryLOOK and VistrianMES Manufacturing Intelligence software systems

Vistrian's FactoryLOOK Manufacturing Intelligence Solution in conjunction with VistrianMES Provides Visibility, Traceability & Accountability to NuvoSun's Manufacturing Operation

Rockwell Automation enhances FactoryTalk Software

FactoryTalk VantagePoint 4.0 software from Rockwell Automation now includes enhanced connectors, configuration and reporting tools to significantly reduce the time, complexity and cost of developing meaningful reports, visualization and analytics for manufacturing operations and enhance performance for manufacturing intelligence applications.

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Factory Automation - Featured Product

CMES - AI-Powered 3D Robot Vision

CMES - AI-Powered 3D Robot Vision

Powered by AI, CMES Robotics enables 3D vision for factory robots. CMES AI vision software enables robots to recognize unstructured, flexible, or deformed objects, pick them up, and loading and unloading. CMES Vision software has been deployed worldwide for random palletization and depalletization along with void filling applications. CMES Robotics automates your warehouse, logistics, and supply chain. For more information, please visit: cmesrobotics.com or email info@cmesrobotics.com.