V-Soft's Corporate Headquarters

101 Bullitt Lane, Suite #205
Louisville, KY 40222

TOLL FREE: 844.425.8425
FAX: 502.412.5869

Denver, Colorado

6400 South Fiddlers Green Circle Suite #1150
Greenwood Village, CO 80111

TOLL FREE: 844.425.8425

Chicago, Illinois

208 N. Green Street, #302, Chicago, IL 60607

TOLL FREE: 844.425.8425

Madison, Wisconsin

2810 Crossroads Drive, Ste. 4000
Madison, WI 53718

TOLL FREE: 844.425.8425

Atlanta, Georgia

1255 Peachtree Parkway Suite #4201
Cumming, GA 30041

TOLL FREE: 844.425.8425

Cincinnati, Ohio

Spectrum Office Tower 11260
Chester Road Suite 350
Cincinnati, OH 45246

Phone: 513.771.0050

Raritan, New Jersey

216 Route 206 Suite 22 Hillsborough Raritan, NJ 08844

Phone: 513.771.0050

Toronto, Canada

1 St. Clair Ave W Suite #902, Toronto, Ontario, M4V 1K6

Phone: 416.663.0900

Hyderabad, India

Incor 9, 3rd Floor, Kavuri Hills
Madhapur, Hyderabad – 500033 India

PHONE: 040-48482789

Noida, India

H-110 - Sector 63 ,
NOIDA , Gautham Budh Nagar ,
UP – 201301

Case Study: Computer Vision Defect Detection

Computer vision technology is a powerful AI tool that can understand, interpret and analyze images and videos. By integrating computer vision into new or existing infrastructure, businesses can automate manual inspection processes. V-Soft Digital worked with a public research university in the Northeast to deploy a computer vision system to automatically detect defects in manufacturing components. Learn more in the video above or the recap below. 

The Need for Automation

The manufacturing department within this university was looking to adopt smart manufacturing technologies and automate many of their manual, outdated processes. These old processes were costing more time and money for the department than necessary and it was time for a change. University leaders turned to V-Soft Digital for an advanced technology solution that would save the organization time and money, while still maintaining and improving overall accuracy. 

How Computer Vision Solved the Problem

V-Soft Digital deployed a computer vision system to support automated defect detection on industrial products such as steel piping for the oil and gas industry and even automated the analysis of defects and their categorization. With this technology in place, the department saw significant improvements within their industrial lab. The system has the ability to identify multiple categories of defects, enhance image processing, and capture digital certificates of defect details, including location and size. 

The computer vision system has the ability to identify multiple categories of defects, enhance image processing, and capture digital certificates of defects.

This automation solution increased defect detection accuracy by 17%, which saved the university both time and money otherwise wasted on overlooked defects. Repair downtime was reduced by 10% with a more proactive analysis in place, and manual inspection was altogether eliminated in the process. This lead to an overall savings of $150K per production line.

Technologies Applied

  • Internet of Things (IoT)
  • Computer Vision
  • GreenGrass
  • Industrial Camera Systems 
  • AWS Lambda
  • AWS SageMaker
  • S3 Buckets

Automation By Any Means

Topics: Higher Education, Artificial Intelligence, Intelligent Automation, IoT, Computer vision, Manufacturing Industry, Defect Detection, Video Blog

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Automation By Any Means