The trend toward RFID automation solutions in production logistics and traceability applications is being driven by low-cost tags, the ability to store more information on tags, higher read distances, and the ability to present data more effectively to production systems.
Excellent point, Ann. Just reading through the scope of what's required in terms of pilots is likely to keep many companies sitting on the sidelines, despite the huge potential RFID can have on supply chain and manufacturing operations. I'm wondering if that's the reason RFID has been slower to make a mark than initially expected. While introduced with great fanfare and with promises of delivering transformative change, the actual implementations and pilots of companies doing real use cases with RFID has been somewhat disappointing, at least according to what I've read. Now I understand why.
Thanks, a very informative article. RFID seems like a simple idea, but it's surprisingly complex. You have to practically install a beta system to figure out whether it will benefit your operation, and what hardware, software, communications and system configurations you need.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
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Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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