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.
Related Articles
5 Real-World Vibe Coding Success Stories That Show What AI Can Really Do
Not too long ago, building software meant either spending years learning to code or paying someone a hefty fee to do[...]
How To Design Multi-Agent Workflows That Actually Work
AI agents are increasingly being pitched as virtual workers capable of running entire business processes with minimal supervision. But there’s a[...]
How Instacart Is Using Physical AI To Reinvent The Grocery Store
The smartest computer in your local grocery store may soon be the cart rattling toward the cereal aisle. For years, retailers[...]
How Google Cloud Put An AI Agent Inside Formula E’s GEN4 Car
At 150 miles per hour, there is very little time to ask an AI assistant where you are losing speed. Yet[...]
Why The AI Race Is Really An Infrastructure Race
The most dangerous mistake in the AI race is assuming that the smartest model will win it. For the past few[...]
The 5 AI Scaling Mistakes That Could Derail Your Business
AI pilots can make AI look deceptively manageable. Scale is where reality arrives. A system that works brilliantly for 50 people[...]
Sign up to Stay in Touch!
Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity.
He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations.
He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.
Bernard’s latest book is ‘Generative AI in Practice’.
Social Media