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Transforming Vision Inspection With Machine Learning

How a powertrain manufacturer optimized its welding process using advanced image algorithms from a platform that extracts key features from images, analyzes them, and informs MES decisions in near real-time.

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How auto-manufacturers can apply ML & AI algorithms to enhance image analytics on their factory floor and to ensure higher product quality? Discover the next generation visual inspection in our new case study. In this case study , you will learn about:

  • Current limitations of image inspection in the manufacturing industry.
  • The O+ end-to-end solution, which brings machine learning and deep learning to image analysis in the production line.
  • How a powertrain manufacturer deployed OptimalPlus’ software on the edge and utilized its image analysis capabilities to optimize the welding process.

Despite its great potential for quality control, vision inspection is far from reaching its full potential in manufacturing. Manual inspection, as well as traditional computer vision methods, are prone to error and are often unable to uncover the root cause of problems.

In search of a solution to optimize its welding process, a leading powertrain manufacturer turned to OptimalPlus. Using advanced image algorithms, the OptimalPlus platform extracts key features from images, analyzes them, and informs MES decisions in near real-time.

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