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What is unique about AutoMetrics tech?

X-Sigma is a platform for manufacturing process intelligence. It monitors production quality indicators, instead of product defects, to help manufacturers proactively identify and address defect-prone variations in real-time.
Low-data training is another competitive feature of X-Sigma's physics-informed learning pipeline. It learns from few iterations of the same process and setup as in the production line.

Lastly, By focusing on common process quality signatures, e.g. light emission (patent) and arc electrical circuitry signals during MIG welding, it is an equipment-agnostic retrofit system.

Any performance successes examples by X-Sigma?

For batch processes, e.g. MIG welding in automotive, X-Sigma showed below 4% false positive and near zero false negative with just 4 iterations (similar performance with 2-3 ft of weld in continuous additive welding). Reach out for extensive performance reports.

Is X-Sigma another AI vision inspection system or 3D scanner?

X-Sigma is a smart process monitoring and real-time feedback platform; it does not offer defect inspection as a core functionality.

The ML modules in X-Sigma learn the common signatures of production process quality rather than the visual imagery of the final product.

​The use of a welding camera for our high-precision MIG welding monitoring unit aims to capture visual indicators of arc quality, such as arc size and stability. These signatures are combined with other signals, including the electrical circuitry of the arc, and are fed to the learning module for physics-informed training. AutoMetrics does not offer welding cameras or sensor hardware.

Does X-Sigma work with a certain brand of cameras (for MIG welding), or sensors?

X-Sigma provides a platform to integrate cameras (for real-time visual data) and other sensors as sources for process quality signature extraction. The camera and sensors can be replaced with any type/brand.

What are benefit and ROIs with X-Sigma?

Manufacturing quality without real-time defect containment depends on late inspection for defects, costing manufacturers:

  • 20-40% reduced efficiency even with robotics due to downtime for serial inspection and late repair/troubleshooting.

  • Significant recurring expenses of up to $0.5M per factory to operate late inspection units, manual or automated.

Alternatives to subjective and error-prone manual inspections, such as AI vision or 3D scanning to find defects, come with:

  • High capital investment, $1-2M per line,

  • Operational costs comparable with manual inspection, e.g. additional handling, maintenance.

  • Ultimately failing to reduce cycle times or the cost of late discoveries.

Does X-Sigma generate a welding program so the machine can optimize the process?

X-Sigma provides intelligent detection and feedback. The platform offers flexible,  easy-to-integrate MQTT APIs to direct the real-time feedback to control systems for custom decision making.

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