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

Computer Vision: The Next Step in Supply Chain, Inventory, and Manufacturing

The most impactful advantage of CV is its ability to count and categorize inventory

Albert Rees
Joe Vernon
Wed, 06/08/2022 - 12:03
  • Comment
  • RSS

Social Sharing block

  • Print
Body

The pandemic had many consequences for manufacturing companies, the most prevalent being supply chain disruption. In light of these disruptions, it is paramount that organizations establish robust and reliable operations to ensure productivity targets are met—especially as consumer demands continue to rise regarding speed, accuracy, and quality. To keep up with this rapidly accelerating and challenging economy, many in the manufacturing sector have deployed computer vision (CV) technologies. Coupled with artificial intelligence (AI) it is possible to train computers to interpret, identify, and classify objects in the visual world using digital images, cameras, videos, and machine learning.

 …

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

9 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Please login to comment.
      

© 2024 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