Robot vision and computer vision: What is the difference?
Robot vision, computer vision, image processing, machine vision and graphic recognition. What is the difference between these people?
To figure out which one of them is which is sometimes confusing. Let's take a look at what the specific meaning of these terms is and how they relate to robotics . After reading this article, you will never be confused by these concepts!
When people sometimes talk about robot vision, they are confused. When they say that they are using "computer vision" or "image processing," in fact, they mean that they are using 'machine vision', which is a completely understandable mistake. Because the boundaries between all the different terms are sometimes somewhat ambiguous.
In this article, we decompose the "family spectrum" of robot vision to show where in the broader signal processing arena.
What is Robot Vision?
In basic terms, robot vision involves the use of a combination of camera hardware and computer algorithms to allow robots to process visual data from the real world. For example, your system can make a 2D camera that detects an object that the machine will pick up. A more complicated example might be to use a 3D stereo camera to guide the robot to mount the wheel on a moving vehicle.
Without machine vision, your robot is basically a scorpion. For some robot tasks, this may not be a problem. But for some applications, robot vision is helpful, even essential.
Robot Vision's "Family Spectrum"
Robot vision is closely related to machine vision, and machine vision will be introduced later. Both of them are closely related to computer vision. If they are talking about a "genealogy tree," computer vision can be seen as their "parents." However, in order to understand their location in the entire system in detail, we need to further introduce their "grandparents" - signal processing.
Signal Processing
Signal processing includes processing electronic signals, or cleaning (eg, denoising), extracting information, pre-processing for output to the display, or pre-processing for their further processing. Anything can be a signal, more or less. There are various types of signals that can be processed, such as analog signals, digital signals, frequency signals, and the like. The image is basically just a two-dimensional (or more multi-dimensional) signal. For robot vision, we are interested in the processing of images. So, we are talking about image processing, right? wrong.
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