What Is Machine Vision In 60 Seconds
2 July 2021
One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use machine vision systems in a variety of ways to improve quality, efficiency and operations.
How do machine vision systems work?
Some manufacturing facilities have used machine vision systems since the 1950s, but it was in the 1980s-1990s when things really started to expand. Regardless of an industrial or non-industrial application, a combination of software and hardware work together to make machine vision systems possible.
Let’s look at how these components work together when machine vision is used to inspect a product in a manufacturing operation, a very common example of a machine vision system in practice.
The process begins when a sensor detects the presence of a product. The sensor then triggers a light source to illuminate the area and a camera to capture an image of the product or a component of the product. The frame-grabber (a digitising device) translates the camera’s image into digital output. The digital file is saved on a computer so it can be analysed by the system software. The software compares the file against a set of predetermined criteria to identify defects. If a defect is identified, the product will fail inspection.
Where to go from here
If you would like to know more about , check out my articles on:
- What Is Machine Learning – A Complete Beginner’s Guide
- What Is The Difference Between Deep Learning, Machine Learning And AI?
- Who’s Who: The 6 Top Thinkers In AI And Machine Learning
- What Is The Difference Between Data Mining And Machine Learning?
Or browse the Artificial Intelligence & Machine Learning to find the metrics that matter most to you.
Here’s What The Future Of The Internet Will Look Like
It's difficult to predict exactly what the future internet will look like because new technology is evolving so quickly — but there is no doubt that the newest iteration of the web will transform virtually every part of our economy and society.[...]
How Panini Is Using Web3 To Create Digital Markets And Collectibles
Globally, Panini is the biggest name in the sports trading card business – a household name in its own right, with partnerships in place with global brands, including FIFA, Disney, and NASCAR.[...]
5 Reasons Why You Should Care About Web3
Web3 has the potential to disrupt pretty much everything we know about life online and who controls it.[...]
Universal Studios, The Metaverse, And The Future of Theme Parks
Universal Studios theme parks are constantly evolving to keep up with changing technology — and one of the most exciting recent developments has been the integration of metaverse technologies into Universal’s attractions.[...]
From Diagnosis To Treatment: 10 Ways AI Is Transforming Healthcare
AI is poised to revolutionize how we approach and address global health challenges. Dive into this post to explore the top 10 ways AI is positively impacting the healthcare landscape.[...]
Should We Stop Developing AI For The Good Of Humanity?
Almost 30,000 people have signed a petition calling for an “immediate pause” to the development of more powerful artificial intelligence (AI) systems.[...]
- Get updates straight to your inbox
- Join my 1 million newsletter subscribers
- Never miss any new content