Machine vision and computer vision are both used to perform image processing. To do so, they both need similar components: a camera, a capture board (and/or frame grabber), lighting, and software to handle the data. But this doesn’t mean you should use them interchangeably for your vision system needs.
Computer vision is often focused on understanding images fully after acquiring, processing, and analyzing them. Computer vision systems usually extract as much data as possible about an object or scene. Whereas machine vision zeroes in on the most critical parts of the image relative to its application. Machine vision is more likely to be used for fast decisions.
Machine vision is often designed with a specific application in mind. Machine vision is also typically found in the engineering domain whereas computer vision is often used in the Sciences and Big Data. Some liken machine vision to a stand-in for a worker and computer vision to a team of analysts.
Machine vision and computer vision are both used to perform image processing. To do so, they both need similar components: a camera, a capture board (and/or frame grabber), lighting, and software to handle the data. But this doesn’t mean you should use them interchangeably for your vision system needs.
Computer vision is often focused on understanding images fully after acquiring, processing, and analyzing them. Computer vision systems usually extract as much data as possible about an object or scene. Whereas machine vision zeroes in on the most critical parts of the image relative to its application. Machine vision is more likely to be used for fast decisions.
Machine vision is often designed with a specific application in mind. Machine vision is also typically found in the engineering domain whereas computer vision is often used in the Sciences and Big Data. Some liken machine vision to a stand-in for a worker and computer vision to a team of analysts.
