Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.
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The automation debate is a captivating one, but for some it conjures up images of a world where their roles become obsolete, superseded by the ruthless efficiency and unwavering energy of machines.
Energy markets across the world are changing rapidly with the increase of renewables and the change to a more distributed energy network. Energy storage is key. The capabilities of large-scale batteries have expanded, allowing users to capture more value and create a powerful tool to manage energy needs.
So you have finally decided to start your digital transformation. You have seen the benefits around digitizing your operations. By connecting your disparate systems, you can start seeing what is actually happening in your plant and become more efficient. And not just in one plant, but in multiple plants.
When drilling a well, clearing a forest or excavating a building site, experienced operators count on their toughest equipment to help them get the job done.
Road to maturity involves safeguarding supply chains, treating security with the same urgency as safety, for starters.
Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.
Hybrid manufacturing—using one machine to perform both additive and conventional subtractive manufacturing processes—is gaining traction across manufacturing sectors, allowing companies to leverage the benefits of both.
The U.S. Army is working assiduously to flight-qualify engine parts it has redesigned using additive manufacturing (AM).
The value-add of blockchain for businesses is estimated to grow into the trillions by 2030. Experts believe product recalls alone—estimated to cost $8 million today—could be practically eliminated through improved track and traceability enabled by blockchain.