Machine vision runs the gamut in factory automation applications, from handling security and maximizing production, to providing predictive maintenance for the machinery. On the production side, tasks could include inspection, orientation, identification, and assembly. While each of these elements could be handled by a human, there are many (emphasis on “many”) reasons why you would want to do this with a machine/computer.
We spend a lot of time discussing security, and for a very good reason. Very simply, you don’t want to get hacked. However, many experts will tell you that it’s inevitable. If your platform is connected to the outside world, you will eventually experience a data breach. Hence, the key is to minimize the damage as much as possible.
On the surface, it may not appear that there’s a difference between consumer versus commercial versus industrial versus military product grades, particularly at the component level. But I assure you there are vast differences. The distinctions are important because they significantly affect reliability, endurance, and total cost of ownership over time.
We’ve spent lots of time discussing the Edge of the IoT, particularly what processes should be handled at the Edge versus those that are better performed in the Cloud. And you’ve probably noticed the focus moving increasingly more toward the Edge, as compute capability grows.
COTS (commercial off-the-shelf) is a term that gets thrown around a lot in the embedded computer industry, particularly on the hardware side. COTS products are optimized for efficient, sometimes volume, production and come with a predetermined amount of functionality and I/O capabilities designed to meet the majority of computing needs of a broader market.