NoiseQC Features – Acoustic Go/No Go Testing & Production Control

NoiseQC: Smart Go/No Go Acoustic Testing for Production Control

NoiseQC is an intelligent end-of-line testing system that uses sound and vibration analysis to detect product defects in real-time. It integrates seamlessly with your production line, automatically approving or rejecting units based on acoustic fingerprints.

How Go/No Go Acoustic Testing Works

Each product has a unique sound signature when operating correctly. NoiseQC learns this pattern and continuously listens during operation or test mode. If the sound deviates from the acceptable profile, the system flags the unit as a fail — all without human listening or subjectivity.

Go = Passed

  • Sound matches the reference pattern

  • Unit approved, line continues

No Go = Failed

  • Sound outside tolerance

  • Immediate alert or ejection signal


Core Features

  • Microphone-Driven Acoustic Analysis
    Captures sound from motors, fans, valves, and other sources

  • Real-Time Go/No Go Classification
    Decision in under 2 seconds

  • Adaptive Threshold Settings
    Easily adjust tolerance levels based on product type or batch

  • Reference Sound Library
    Upload or record good samples for comparison

  • Visual Feedback Dashboard
    See pass/fail status and waveform patterns live


Integrated Production Control

NoiseQC goes beyond testing — it communicates directly with your production line.

  • PLC Integration: Send I/O signals to mark, stop, or eject failed units

  • Cycle-Time Optimized: Designed for high-speed lines

  • Test Logging & Reporting: Automatically stores test results for QA traceability


Why Use NoiseQC?

  • Reduce manual inspection time

  • Eliminate human bias in sound assessment

  • Prevent noisy products from reaching customers

  • Catch mechanical, electrical, or assembly faults early


Watch It in Action


Ready to Improve Your Line?

NoiseQC is used in automotive, electronics, appliances, and more.
Let us help you implement real-time acoustic quality control.

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