Through Quantiphi Inc. 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
