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Parts Quality Gets Robotic Boost

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 Parts Quality Gets Robotic Boost - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Computer Vision Software
  • Sensors - Camera / Video Systems
  • Sensors - Dimension & Displacement Sensors
Applicable Industries
  • Automotive
Applicable Functions
  • Quality Assurance
Use Cases
  • Visual Quality Detection
About The Customer
Manufacturing customers, which include the world's Tier 1 automotive and parts manufacturers.
The Challenge

When manufacturers, such as the world's top car makers and automotive parts suppliers, produce components in their factories, traditional QA testing has been limited to verifying the quality of random parts pulled off the line throughout the day.

It was time consuming to perform the detailed tests required, and defective parts could get through despite randomized tests.

If a defective part caused a recall or accident, manufacturers could face costly litigation or irreparable damage to their reputation.

The Solution

Bluewrist installs robots, 3D cameras and sensors on a client's assembly line and deploys comXtream software for analytics and automated controls on an industrial PC powered by Intel® Core™ i7 processors.

After each part is scanned by 3D cameras and sensors, Bluewrist's National Institute of Standards and Technology-certified ScanXtream* creates a point cloud to compare against CAD drawings, and will take automatic action if defects are detected by alerting the manufacturer or shutting down the line.

Clients have the option of using Bluewrist's cloud-based software defined infrastructure, powered by the Intel® Xeon™ processor E5 series, to get the same QA testing, analysis and automated controls without onsite PCs.

Data Collected
Fault Detection, Parts Quality, Production Efficiency, Supplier Defect Rate, Traceable Parts
Operational Impact
  • [Efficiency Improvement - Quality Assurance]
    Bluewrist's comXstream software and analytics show miniscule deviations from the approved design specifications so manufactures can modify processes before allowable tolerances are exceeded. 
  • [Efficiency Improvement - Compliance]
    By maintaining a record of every scan, manufacturers can prove 100% compliance and traceability with CAD specifications in the event of a recall or accident.
Quantitative Benefit
  • Automating analytics and testing lets manufacturers cut QA testing time from an hour or more to under approximately 30 seconds.



  • Manufacturers check 100% of the parts on the assembly line for 100% inline quality testing, instead of testing less than 1%.

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