Written by

Bernard Marr

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 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

View Latest Book

Follow Me

Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

View Latest Book

Follow Me

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:

Or browse the Artificial Intelligence & Machine Learning  to find the metrics that matter most to you.


Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

Related Articles

The Best Smart Watches In 2023 / 2024: From Blood Sugar Monitoring To AI Personal Training

Apple popularized the smartwatch, just as it did with the smartphone when it released the Apple watch in 2015.[...]

The Amazing Ways Snowflake Uses Generative AI For Synthetic Data And Natural Language Queries

You probably know that the new generation of generative AI tools that have exploded onto the scene can generate words, pictures and even videos that closely resemble those created by humans.[...]

The Role of Data Storage in Accelerating Time-to-Insights

When it comes to data and analytics, time is money. According to research by IDC, 75 percent of business decision-makers believe data loses its value within days.[...]

The Top 5 Tech Trends In 2024 Everyone Must Be Ready For

Once again, we’ve reached the time of year when we look ahead at what technology has in store for us in 2024.[...]

The Amazing Ways Coca-Cola Uses Generative AI In Art And Advertising

Some say that in the very near future, we’ll need to either adopt artificial intelligence (AI) or be made redundant by it – or by others using it.[...]

The 5 Biggest Risks of Generative AI: Steering the Behemoth Responsibly

In our contemporary world, the pressures of the professional sphere often encroach upon our personal space, giving rise to stress and an overwhelming sense of dread.[...]

Stay up-to-date

  • Get updates straight to your inbox
  • Join my 1 million newsletter subscribers
  • Never miss any new content

Social Media

0
Followers
0
Followers
0
Followers
0
Subscribers
0
Followers
0
Subscribers
0
Yearly Views
0
Readers

Podcasts

View Podcasts