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 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 books are ‘Future Skills’, ‘The Future Internet’, ‘Business Trends in Practice’ and ‘Generative AI in Practice’.

Generative AI Book Launch
View My Latest Books

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

11 Barriers To Effective AI Adoption And How To Overcome Them

In today's digital era, artificial intelligence (AI) has emerged as a transformative force across diverse sectors.[...]

The Top Generative AI Tools For Art And Design

Image creators were among the first generative AI tools to capture the public imagination.[...]

The Important Difference Between Generative AI And AGI

In the fast-evolving landscape of artificial intelligence, two concepts often spark vigorous debate among tech enthusiasts: Generative AI and Artificial General Intelligence (AGI).[...]

7 Essential Open-Source Generative AI Models Available Today

There are many reasons that businesses may want to choose open-source over proprietary tools when getting started with generative AI.[...]

Why AI Challenges Us To Become More Human

n an era where artificial intelligence is reshaping the boundaries of what machines can do, we find ourselves at a pivotal moment in history.[...]

Building Trust In AI: The Case For Transparency

AI is rapidly transforming the world of business as it becomes increasingly woven into the fabric of organizations and the day-to-day lives of customers.[...]

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’.

Sign Up Today

Social Media

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

Podcasts

View Podcasts