Machine Vision Systems: Basics Things to Know

If you are interested in visual inspection systems, this article is going to be quite informative for you. This article will let you know the basics of a machine vision system and other important aspects of it. To know more, you may want to read through the article.

Basically, machine vision refers to computer vision. In other words, it uses one or multiple computer-based cameras, digital processing (DSP), and analog-to-digital conversion. The data captured by the cameras is sent to a robot or computer controller.

As far as complexity is concerned, both machine vision and voice recognition are almost equally complex. In voice recognition apps, artificial intelligence is employed to convert voice into text. So, complexity is there in both systems.

In simple words, machine vision refers to the ability of a computer system to see. A visual inspection system uses one or multiple cameras in order to scan and identify defects in an object.

Like other machines, machine vision systems also have specifications. The two most important specifications include resolution and sensitivity. By sensitivity, we mean the ability of the system to identify objects and defects in low light.

It can also identify weak impulses even when the wavelengths are invisible. On the other hand, resolution refers to the extent a machine can find the difference between different objects. As a general rule, the field of view can be more confined based on the resolution.

It’s important to keep in mind that resolution and sensitivity depend on each other. In other words, even if you hold other factors constant, if you boost the sensitivity, it will reduce the resolution and vice versa.

Our eyes can see electromagnetic wavelengths if the range is between 390 and 770 nm. On the other hand, video cameras are much more sensitive than the human eye and can detect x-ray wavelengths, UV and IR.

With binocular machine vision, the system uses a computer to perform the scanning. Aside from this, if you require depth perception, you need to implement AI, RAM, and high-resolution cameras.

Besides, visual inspection systems are also used in a lot of medical and industrial applications. Some common examples are given below:

• Currency inspection

• Electronic component analysis

• Handwriting recognition

• Materials inspection

• Medical image analysis

• Object recognition

• Optical character recognition

• Pattern recognition

• Signature identification

This is not a complete list of industries that can benefit from visual inspection. The use of these systems is on the rise and more and more industries are beginning to use them.

Often the term visual inspection machine is linked with the ability of a computer to perform scanning in different industries. On the other hand, “computer vision” refers to any technology that involves the scanning and image and then processing the data contained in it.

In short, this was an introduction to machine vision and the functions it can perform in different industries. If you have a business that involves scanning objects, identifying defects and sorting different objects, you may want to give a go to a machine vision system.