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A complete guide to computer vision for quality control in manufacturing

According to the American Society for Quality, every manufacturing company bears quality-related costs at about 20% of total sales. Suppose a company generates $10 million in revenue, $2 million goes to waste on avoidable quality issues. Do you wish to spend little on poor quality? Then, going through this whitepaper is worthy of your time.

Do you know manual inspections for quality control can bring more than eight hurdles in your company’s growth? On the contrary, computer vision (CV) solutions for quality control solve all those problems and bring:

  • Precision. There’s no match to CV solutions for quality control in precision and accuracy.
  • Speed. It enhances your time-to-market advantage.
  • 100% inspection. It’s impossible to achieve through human eyes.
  • Intact brand reputation. Stay assured of no false positive or negative results.
  • Cost efficiency. Save more bucks as these solutions are faster and more accurate.
According to MarketsandMarkets, the global computer vision market size was valued at $12 billion in 2022 and is expected to reach $17.2 billion by 2027, expanding at a CAGR of 7.4% from 2022 to 2027.

Whether you want to learn how to design a computer vision system for quality control (just by following six steps) or know how to use computer vision solutions for quality control in agriculture, your answers are just a download away from this whitepaper.

From this whitepaper, learn:

  • The difference between quality control, quality assurance and quality inspection
  • The problems with human visual inspection approaches
  • Benefits of computer vision for quality control in manufacturing
  • The features of computer vision solutions for quality control
  • How to design a computer vision system for quality control (just in six steps)?
  • Architecture diagram of image acquisition and processing (get a complete understanding of the computer vision solutions mechanics in three phases)
  • Computer vision applications in different manufacturing industries

Lastly, if you want to avoid being among the companies that detect only 70% of defects in manufactured products or the manufacturing cycle, go through what you can take away from this whitepaper without fail.

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