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Leveraging AI to Upgrade Product Quality Management in Speed and Accuracy

 Leveraging AI to Upgrade Product Quality Management in Speed and Accuracy - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Computer Vision Software
  • Analytics & Modeling - Machine Learning
Applicable Industries
  • Electronics
Applicable Functions
  • Discrete Manufacturing
  • Quality Assurance
Use Cases
  • Computer Vision
Services
  • Software Design & Engineering Services
The Challenge

To succeed in the fiercely competitive LCD manufacturing industry, CSOT must deliver high-quality products within a tight time frame, but time-consuming product inspections have hampered its agility. Quality inspectors had to inspect each LCD screen individually to check for flaws. This takes quite a bit of time.

The Customer

CSOT

About The Customer

Screen panel designer and manufacturer.

The Solution

To enable a smarter approach to quality control, CSOT introduced IBM Visual Insights, an AI-powered inspection solution that intelligently detects defects by comparing product images with a library of known defect images. Visual Insights can be easily integrated with existing inspection processes, allowing CSOT to get the solution up and running quickly.

Operational Impact
  • [Efficiency Improvement - Quality Assurance]

    Visual Insights can analyze product images in milliseconds, thousands of times faster than human operators. This helps CSOT identify defects quickly and confidently, thereby shortening inspection lead times.

  • [Product Improvement - Brand Image]

    By integrating AI technology and human expertise, CSOT promotes more accurate product inspection, which helps minimize the risk of potentially defective products leaving the production line, thereby improving overall product quality. This will reduce costs, increase manufacturing yields, and support the company in maintaining high-quality standards, thereby protecting the company's reputation for product excellence.

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