{domain:"www.qualitydigest.com",server:"169.47.211.87"} Skip to main content

User account menu
Main navigation
  • Topics
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Videos/Webinars
    • All videos
    • Product Demos
    • Webinars
  • Advertise
    • Advertise
    • Submit B2B Press Release
    • Write for us
  • Metrology Hub
  • Training
  • Subscribe
  • Log in
Mobile Menu
  • Home
  • Topics
    • 3D Metrology-CMSC
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Login / Subscribe
  • More...
    • All Features
    • All News
    • All Videos
    • Contact
    • Training

Advances in Machine Vision Enable Automation of Quality Inspections

Experts from Amazon Web Services and Elementary Robotics share insights about automated inspections

Jeffrey Heimgartner
Thu, 09/09/2021 - 12:03
  • Comment
  • RSS

Social Sharing block

  • Print
Body

During the Association for Advancing Automation (A3) Vision Week in June 2020, experts from Amazon Web Services and Elementary Robotics weighed in on the traditional challenges organizations face when using machine vision. They discussed how to incorporate the latest advances—including the cloud—to make the process easier, faster, and able to solve seemingly unsolvable quality inspections.

ADVERTISEMENT

Difficult quality inspections across industries have traditionally relied on manual inspections. Although it may be easy to put a person at the end of a production line, humans are inherently subjective and prone to error. Machine vision has proven itself as a valuable tool to address those issues while also lowering the costs of inspection.

“The industry has shifted to machine learning for some challenging problems,” says Dan Pipe-Mazo, CTO at Elementary Robotics. “We might have inconsistent product, but it’s hard to quantify or qualify rules. We might have examples when you train a system, but it has limited defects. Assuming we have a challenging product, we have a challenging configuration. With machine learning, it is no longer rules-based configuration.”

 …

Want to continue?
Log in or create a FREE account.
Enter your username or email address
Enter the password that accompanies your username.
By logging in you agree to receive communication from Quality Digest. Privacy Policy.
Create a FREE account
Forgot My Password

Add new comment

Image CAPTCHA
Enter the characters shown in the image.
Please login to comment.
      

© 2025 Quality Digest. Copyright on content held by Quality Digest or by individual authors. Contact Quality Digest for reprint information.
“Quality Digest" is a trademark owned by Quality Circle Institute Inc.

footer
  • Home
  • Print QD: 1995-2008
  • Print QD: 2008-2009
  • Videos
  • Privacy Policy
  • Write for us
footer second menu
  • Subscribe to Quality Digest
  • About Us
  • Contact Us