Engine Manufacturing Defects Captured by an AI-Based Visual Quality Inspection Solution


Through December 14, 2021

One of the world’s top 6 car manufacturers wanted to reduce engine faults, but relied on a solution that gave 50% reliable results in fault detection. The automaker was once again using human intelligence to verify the results, which again took time and wasted resources on a single task.

Then they tried Quantiphi’s visual quality inspection solutions and, a year later, saved $4 million.

This case study explains:

  • Critical problems encountered by the car manufacturer during the engine detection phase.
  • How Quantiphi helped the automaker leverage computer vision to detect engine faults.
  • How does the visual quality inspection solution work?
  • Long-term and short-term benefits received by the automaker after installing the VQI solution in their assembly line.

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Article topics

Automotive & manufacturing middot & middot quantiphi & middot
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