A Stock for Computer Vision and Machine Vision

Much of what makes the world of technology difficult to grasp for the average layperson is the gratuitous use of terminology. Sometimes, the same concepts are regurgitated using new names so the management consultancies out there can be seen as “thought leaders” and continue to charge the exorbitant rates they do. As crafty Southeast Asians on the banana pancake trail like to say, same same, but different. Still, names matter, and this led us to question what the difference is between computer vision and machine vision. In either case, we’re talking about equipping computers with the ability to make sense of the real-world using vision in much the same way humans do. We’re only now able to do this because we have hardware like GPUs and software like machine learning which lets us capture imagery in extreme detail and analyze it very quickly. So, what’s the difference between machine vision and computer vision? According to the world’s largest global vision and imaging trade group, AIA:

The lines between computer vision and machine vision have been blurring over the years and today, the term machine vision is used in non-industrial environments such as high-end surveillance, biomedical or life science applications, and even in the effort to improve an intern