English
Solutions Solutions Industries Industries Success Stories Resources About Contact
Blog May 2022 Updated May 2022

What is Computer Vision And How Is It Used In Business Today?

Register for Webinar!
Bernard Marr

This article was originally published on Bernard Marr's website. Bernard Marr will be our guest speaker in our exclusive Executive webinar on 'How to unlock the advantage of AI to transform your organization with automation and actionable insights' on 14th June. Click here to learn more and register to receive an invite to join the online webinar.

What is Computer Vision And How Is It Used In Business Today?

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. Here are the typical components involved:

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 digitizing device) translates the camera’s image into digital output. The digital file is saved on a computer so it can be analyzed 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.

What is Machine Vision?

What’s the difference between machine vision and computer vision?

Computer vision and machine vision are overlapping technologies. A machine vision system requires a computer and specific software to operate while computer vision doesn’t need to be integrated with a machine. Computer vision can, for example, analyze digital online images or videos as well as “images” from motion detectors, infrared sensors or other sources, not just a photo or video. Machine vision is a sub-category of computer vision.

How is machine vision used in business?

In addition to using machine vision for quality control purposes, it is helping businesses in many ways today for identification, inspection, guidance and more. Here are a few examples:

Correcting production line defects: In addition to using machine vision to identify defective products, machine vision can help determine where the problems are being introduced in a production line so corrective action can be taken.

Farming: Machine vision is used by harvesting machines to detect the location of grapes on the vine so that robotic harvesting machines can pick the bunches without destroying any grapes. Machine vision is also used as part of farm machinery to monitor crops and detect diseases on plants.

Inventory control and management: Machine vision is imperative in the process of reading barcodes and labels on components and products. This has important applications for inventory control, but also in the manufacturing process to ensure the correct components get added as products move down an assembly line. Machine vision is critical for the bin-picking done in warehouses by robots.

Product tracking and traceability: In heavily regulated industries such as pharmaceuticals, it’s important to be able to track ingredients, product serial numbers and monitor expiration dates which machine vision makes extraordinarily easier.

Measurements and calibration: Whether measuring the gap in a spark plug to ensure it fits specifications or identifying a gauge that needs calibrated, machine vision automates and makes the process quite efficient.

Safety: Whether on a construction site with heavy equipment or tracking food supplies, machine vision can improve safety with great efficiency.

As the technology continues to get more sophisticated, the use cases for machine vision will continue to grow.

Inspire Webinar: Unlock the advantage of AI to transform your organization with automation & actionable insights

Register now to join AMCS exclusive Executive webinar on 'How to unlock the advantage of AI to transform your organization with automation and actionable insights' with guest speaker Bernard Marr on 14th June. Click here to learn more and register to receive an invite.

AMCS Vision AI

AMCS Vision AI is our artificial intelligence driven, computer vision solution designed to digitize images of resource streams and service events to provide operators with automated and continuous insights. Learn more here about this innovative solution.

Share this on:

Facebook Twitter LinkedIn

Let us show you what AMCS Vision AI can do for you!

Request a customized Demo to discover how Vision AI can save your business money, improve safety & compliance and the quality of recyclate.

Request a demo

Inspire Series Webinar

Learn how to unlock the advantage of AI to transform your organization with automation and actionable insights. Hosted on 14th June 2022 and presented by world-renowned business technology expert Bernard Marr.

Register for Webinar!

Resources

Press Release

AMCS Acquires Utility Billing Software Company Utilibill to Enter the Global Water and Energy Sector

January 19, 2022

Blog

API Accelerator Program – How AMCS Platform is enabling an Interconnected Ecosystem

Drive Innovation and Business Growth

Blog

How the agile win in food & catering transportation

Digitalization speeds up and automates processing.

View other resources
Contact

Contact AMCS to discover how our leading solution can help your business grow and thrive.

Explore AMCS Platform Solutions Success Stories Blogs Careers Stay in touch Sign up for our newsletter
Follow us on