You have probably heard of machine learning at this point, but have you heard the term machine vision?
What's the difference?
While they seem similar, these terms actually mean totally different things. They can be implemented together for maximum efficiency, though!
Here's the breakdown.
Machine learning is programming technology to be able to adapt on its own.
There are multiple techniques and strategies, but in the end the computer is able to use historical data while it functions.
Machine learning goes along with artificial intelligence and is used often in modern manufacturing.
This technology supports artificial intelligence and machine learning.
Readwrite defined it by saying, "Machine vision joins machine learning in a set of tools that gives consumer- and commercial-level hardware unprecedented abilities to observe and interpret their environment."
When machines can properly observe the area around them they can become even more efficient and valuable.
So, how can these two technologies work together?
According to Readwrite, "Machine vision makes sensors throughout the IoT even more powerful and useful. Instead of providing raw data, sensors deliver a level of interpretation and abstraction that can be used in decision-making or further automation."
Machine vision can be used with sensors, cobots, and other IoT technologies.
It can also reduce waste! Just like other tech, machine vision can free up valuable employee time by performing repetitive, time consuming tasks.
It will be exciting to see how this technology evolves and grows in the future!
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