A cluster of articles focusing on machine vision has landed on Machine Design. This week (Aug. 12-16), content will be hyper-focused on a topic our editors and contributors have explored for the past several weeks.
Machine vision technology has become ubiquitous and is experiencing a surge in adoption. A recent survey commissioned by a vision systems provider revealed that over the next two years, the use of machine vision is expected to grow by 37%, with survey respondents reporting expected growth from the current 46% to an impressive 63% of potential applications.
WATCH: Vision Systems: Basics of Machine Vision and Computer Vision (Cognex Webinar)
Across the board, decision-makers are looking at transformative technologies that go beyond traditional solutions to improve visibility across operations. According to Gartner research, “by 2027, 50% of companies with warehouse operations will leverage AI-enabled vision systems to replace traditional scanning-based cycle-counting processes.” Gartner further suggested that there will not be a singular vendor or solution that fits all possible use cases.
That timing is just around the corner and underscores the competitive pressure for industry players to either design their own or seek out solutions they can integrate. None of this was a surprising when Machine Design asked several sources to explain the basic differences between machine vision and computer vision. It’s a deceptively simple question because the scope of current technologies provides a wide lens and, as anticipated, elicited nuanced responses.
READ MORE: How Zebra Technologies Uses Machine Vision to Transform Production Automation
There were a few overlapping truths, of course. Each article in our vision systems collection will build further insight into the range of machine vision approaches and applications the industry is exposed to. Applications demonstrated various levels of maturity presented by veteran players, innovators and even newcomers who are developing value-added workarounds for existing solutions.
P.S. Mark your calendar and register for Thursday’s webinar, “Vision Systems: Basics of Machine Vision and Computer Vision.” Industry veterans Eric Hershberger, principal applications engineer, Cognex, and David L. Dechow, owner/consultant, Machine Vision Source, will provide up-to-the-minute insights into recent machine vision tools and trends.
Be sure to check them out and let us know what you think. Reach me at [email protected].
READ MORE: Can Machine Vision Solve the Pain Point of Making Robotic Arms Intuitive?
