• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer
  • Home
  • Subscribe
  • Your Membership
    • Edit Your Profile
  • Services
    • Advertising
    • Case studies
    • Design
    • Email marketing
    • Lead generation
    • Magazine
    • Press releases
    • Publishing
    • Sponsored posts
    • Webcasting
    • Webinars
    • White papers
    • Writing
  • Shop
    • My Account
    • Cart
  • About
    • Contact
    • Privacy
    • Terms of use
  • Events

Robotics & Automation News

Market trends and business perspectives

  • News
  • Features
  • Sections A-Z
    • Agriculture
    • Aircraft
    • Artificial Intelligence
    • Automation
    • Autonomous vehicles
    • Business
    • Computing
    • Construction
    • Design
    • Drones
    • Economy
    • Energy
    • Engineering
    • Environment
    • Health
    • Humanoids
    • Industrial robots
    • Industry
    • Infrastructure
    • Investments
    • Logistics
    • Manufacturing
    • Marine
    • Material handling
    • Materials
    • Mining
    • Promoted
    • Research
    • Robotics
    • Science
    • Sensors
    • Service robots
    • Software
    • Space
    • Technology
    • Transportation
    • Warehouse robots
    • Wearables
  • Video
  • Webinars
  • White papers
  • Press releases
  • Featured companies
    • AMD Xilinx
    • BlueBotics
    • Elite Robot
    • RGo Robotics
    • SICK Sensor Intelligence
    • Vicor Power

John Deere pilots new robotic welding solution

April 2, 2021 by David Edwards Leave a Comment

John Deere is leveraging Intel’s artificial intelligence technology to help solve a costly, age-old problem in the manufacturing welding process.

Deere is piloting a solution that uses computer vision to automatically spot common defects in the automated welding process in its manufacturing facilities.

Andy Benko, quality director, John Deere construction and forestry division, says: “Welding is a complicated process. This AI solution has the potential to help us produce our high-quality machines more efficiently than before.

“The introduction of new technology into manufacturing is opening up new opportunities and changing the way we think about some processes that haven’t changed in years.”

Why it matters

At 52 factories around the world, John Deere uses the Gas Metal Arc Welding (GMAW) process to weld mild- to high-strength steel to create machines and products. In these factories, hundreds of robotic arms consume millions of weld wire pounds annually.

With this volume of welding, Deere has experience finding solutions to welding issues — and is always looking for new ways to deal with potential problems.

One common welding challenge felt across the industry is porosity, in which cavities in the weld metal are caused by trapped gas bubbles as the weld cools. The cavities weaken the weld strength.

Traditionally, GMAW defect detection has been a manual process requiring highly skilled technicians. Past attempts throughout the industry to deal with weld porosity issues during the welding process haven’t always been successful.

If these flaws are found later in the manufacturing process, they require re-work or even scrapping of full assemblies, which can be disruptive and expensive to manufacturers.

How it works

The opportunity to work with Intel to leverage AI to address weld porosity was a chance to bring together two of John Deere’s core values — innovation and quality.

“We wanted to drive technology to make John Deere’s weld quality better than it’s ever been. That’s the commitment we have to our customers, and that’s what they expect from John Deere,” said Benko.

Intel and Deere combined expertise to develop an integrated, end-to-end system of hardware and software that can generate insights in real time at the edge, at levels beyond the human sense’s capability.

When using a neural network-based inference engine, the solution logs defects in real time and automatically stops the welding process. The automated system allows Deere to correct the issue in real time and produce the quality products that Deere is known for.

Christine Boles, vice president in Intel’s internet of things group and general manager of industrial solutions group, says: “Deere is leveraging AI and machine vision to solve a common challenge with robotic welding.

“By leveraging Intel technology and smart infrastructure in their factories, Deere is positioning themselves well to capitalize not only on this welding solution, but potentially others that emerge as part of their broader Industry 4.0 transformation.”

About the solution

The AI defect detection at the edge solution is powered by Intel Core i7 processors and uses Intel Movidius VPUs and the Intel Distribution of OpenVINO toolkit, implemented with an industrial-grade ADLINK Machine Vision Platform and a MeltTools welding camera.

Print Friendly, PDF & Email

Share this:

  • Print
  • Facebook
  • LinkedIn
  • Reddit
  • Twitter
  • Tumblr
  • Pinterest
  • WhatsApp
  • Telegram
  • Pocket

You might also like…

Filed Under: Manufacturing, News Tagged With: ai, deere, intel, john, manufacturing, process, quality, solution, technology, weld, welding

Join the Robotics & Automation News community

Reader Interactions

You must log in to post a comment.

Primary Sidebar

Latest articles

  • VanceAI Art Generator Guide: Create Visuals in Few Steps
  • VanceAI Photo Editor Can Ease Your Workflow
  • Mastering Time Tracking: How to Properly Utilize Simple Time Clock Software
  • What are the key benefits of website visitor detection tools?
  • What Does a Switch Do in a Network?
  • The Best Rust AK-47 Skins in 2023
  • Palletizing Systems and Robots
  • Exchange vs OTC: Deciphering the Best Fit for Large Volume Crypto Trades
  • Legal Remedies: Tips for Affected Employees in Overtime Pay Violations
  • Zendesk Data Migration Made Simple: Explore Options Available

Most Read

  • Snapchat Plus Planet Order 2023 Explained
    Snapchat Plus Planet Order 2023 Explained
  • How to Track a Phone Number on Google Maps
    How to Track a Phone Number on Google Maps
  • Why is Money Important in Our Lives?
    Why is Money Important in Our Lives?
  • The Future of Personal Computers: What to Expect in the Next Decade
    The Future of Personal Computers: What to Expect in the Next Decade
  • Top 20 programmable logic controller manufacturers
    Top 20 programmable logic controller manufacturers
  • Difference Between Three-Phase and Single-Phase Power
    Difference Between Three-Phase and Single-Phase Power
  • Apptronik says its humanoid robot will ‘redefine the future of work’
    Apptronik says its humanoid robot will ‘redefine the future of work’
  • Top 20 electric vehicle charging station companies
    Top 20 electric vehicle charging station companies
  • Starship Technologies now offering autonomous robot delivery on 50 US college campuses
    Starship Technologies now offering autonomous robot delivery on 50 US college campuses
  • Robotics market will be worth $218 billion by 2030, forecasts GlobalData
    Robotics market will be worth $218 billion by 2030, forecasts GlobalData

Overused words

ai applications automated automation automotive autonomous business companies company control customers data design development digital electric global industrial industry logistics machine manufacturing market mobile operations platform process production robot robotic robotics robots safety software solution solutions system systems technologies technology time vehicle vehicles warehouse work

Secondary Sidebar

Latest news

  • VanceAI Art Generator Guide: Create Visuals in Few Steps
  • VanceAI Photo Editor Can Ease Your Workflow
  • Mastering Time Tracking: How to Properly Utilize Simple Time Clock Software
  • What are the key benefits of website visitor detection tools?
  • What Does a Switch Do in a Network?
  • The Best Rust AK-47 Skins in 2023
  • Palletizing Systems and Robots
  • Exchange vs OTC: Deciphering the Best Fit for Large Volume Crypto Trades
  • Legal Remedies: Tips for Affected Employees in Overtime Pay Violations
  • Zendesk Data Migration Made Simple: Explore Options Available

Footer

We are…

Robotics and Automation News was established in May, 2015, and is now one of the most widely-read websites in its category.

Please consider supporting us by becoming a paying subscriber, or through advertising and sponsorships, or by purchasing products and services through our shop – or a combination of all of the above.

Thank you.

Independent

Archivists

April 2021
M T W T F S S
 1234
567891011
12131415161718
19202122232425
2627282930  
« Mar   May »

Complex

Old-skool

This website and its associated magazine, and weekly newsletter, are all produced by a small team of experienced journalists and media professionals.

If you have any suggestions or comments, feel free to contact us at any of the email addresses on our contact page.

We’d be happy to hear from you, and will always reply as soon as possible.

Future-facing

Free, fair and legal

We support the principles of net neutrality and equal opportunities.

Member of The Internet Defense League

Copyright © 2023 · News Pro on Genesis Framework · WordPress · Log in

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie SettingsAccept
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT