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QualityWorX Vision enables the collection and storage of historical records for images and image data in a centralized location, whether for a single station or an entire production line. More importantly, it provides the tools to enable manufacturers to analyze and trend data to improve quality and productivity.

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• QualityWorX Vision
• Dispense
• Consolidate Data
• Traceability
• Process Monitoring
• Industrial Analytics

In medical device packaging it is extremely important to have a reliable sterile sealing process, however in many cases it is the last piece of the puzzle before going to market with a product. When a proper seal packaging process is not practiced, it quite often leads to returns and having to re-package the product or dispose of it all together while additional unnecessary costs are incurred. Read the Application Note to learn more. 

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• Application Notes
• sigPOD
• QualityWorX Dashboard
• QualityWorX Data Collection
• Process Monitoring
• Medical Devices
• Increase FTY
• Traceability
• Improve Quality
• Process Monitoring
• Industrial Analytics

A major automotive manufacturer was looking for an accurate quality and process monitoring system to improve yield and reduce costly defects. They were having issues with chatter marks in a cam shaft grinding operation causing engine noise and vibration (NVH) and accelerating engine component wear. Sciemetric’s test and process monitoring system resolved the problem: it measures vibration quality control, condition-based wheel dress frequency, monitors machine health to prevent future defects and more. Read the Application Note to learn more.

• Resources
• Application Notes
• sigPOD
• QualityWorX Dashboard
• QualityWorX Data Collection
• Sciemetric Studio Analytics
• Automotive Powertrain
• Axle Manufacturing
• Sound & Vibration (NVH)
• Traceability
• Process Monitoring
• Industrial Analytics

Vision systems are valuable tools for quality inspection, but how are you using the massive number of images and amount of data they produce? This e-book explains why you should integrate machine vision output with the rest of your process data for a complete picture of production health.

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• QualityWorX Vision
• Data Management
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• Industrial Analytics

Despite understanding the value of production data and making an effort to collect it, a major international manufacturer of agricultural machinery lacked the tools to retrieve and analyze its data to quickly trace root cause when quality issues halted production. Read the case study to learn more.

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• Case Studies
• QualityWorX Data Collection
• Off-Highway Vehicles
• Speed Up Runoff
• Increase Production
• Optimize Test Stations
• Industrial Analytics

While traditional methods of leak testing have improved with technology, Sciemetric’s SigPOD advanced leak platform meets and exceeds more demanding rigors of smaller internal volume medical component testing. Read the Application Note to learn more.

• Resources
• Application Notes
• sigPOD
• QualityWorX Dashboard
• QualityWorX Data Collection
• Medical Devices
• Process Monitoring
• Leak Test
• Leak Test
• Industrial Analytics

Evaluating the mechanical performance of power steering rack and pinion assemblies is critical to assure safety and control in any driving situation. This can be challenging as it requires multiple audits. Read the Application Note and see how Sciemetric's solution resolved this challenge.

• Resources
• Application Notes
• sigPOD
• QualityWorX Data Collection
• Automotive Powertrain
• Axle Manufacturing
• Process Monitoring
• Sound & Vibration (NVH)
• Torque
• Data Management
• Consolidate Data
• Process Monitoring

Sciemetric helps manufacturers and companies in the industrial sector bridge the gap between data and insight using our data management and analytics solutions. Learn how we could help you.

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• Infographics
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• QualityWorX Data Collection
• QualityWorX Vision
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• Data Consultation
• Data Management
• Consolidate Data
• Traceability
• Trace Root Cause
• Industrial Analytics

End-of-line testing is costly and unreliable. What’s more, it doesn’t generate sufficient data to support advanced analytics. For one leading automotive OEM, a reliance on EoL meant that they weren’t fully realizing the data-driven potential of a connected Industry 4.0 environment. When this customer decided to take a harder look at standardizing quality across its international brands, it intensified testing beyond EoL and, in the process, unleashed a torrent of data that, once properly managed, made improvements they could only have hoped for. Read the case study to learn more.

• Resources
• Case Studies
• QualityWorX Dashboard
• QualityWorX Data Collection
• Sciemetric Studio Analytics
• Automotive Components
• Automotive Powertrain
• Industrial Analytics

Recycled pressure cuffs must be tested prior to reuse to ensure they meet the standards. The medical company needed not only to improve the accuracy, repeatability and reliability of the test that was being done manually, but also had to collect test data records for each part. Sciemetric developed a solution that automated the test, provided clear visibility into the process and complete part traceability. Read the Application Note to learn more.

• Resources
• Application Notes
• sigPOD
• QualityWorX Dashboard
• QualityWorX Data Collection
• Sciemetric Studio Analytics
• Medical Devices
• Data Management
• Consolidate Data
• Leak Test
• Improve Quality
• Contain Defects
• Traceability
• Trace Root Cause
• Leak Test
• Industrial Analytics