HERTZINNO’s FA-QC leverages acoustic fingerprinting technology to revolutionize manufacturing quality assurance.
This AI-driven solution comprises modular sensing nodes and a central analysis host, where industry-specific sensors capture product sound signatures, and proprietary algorithms perform adaptive noise cancellation, defect pattern recognition, and automated pass/fail verdicts with micron-level precision.
✔ Dual-Channel Audio Capture – Synchronized 24-bit/192kHz sampling
✔ PLC Integration via I/O – Seamless connectivity with Siemens/Rockwell systems
✔ Rapid AI Training – Model-ready with 1,500 normal samples (5x faster than industry average)
✔ High-Speed Detection – 5-30s per unit (adaptable to production line cycle times)
Acoustic Anomaly Detection in Manufacturing QA
Structural defects (e.g., improper assembly, loose components, part damage) generate distinctive acoustic signatures during operation. Our acoustic fingerprinting technology captures these deviations through multi-dimensional noise suppression and AI-powered feature fusion, comparing real-time sound profiles against golden samples with micron-level precision.
Adaptive Sensor Deployment & Multi-Industry Applications
To accommodate diverse environmental conditions and equipment types, we provide application-specific sensors tailored to real-world scenarios. Currently deployed in:
Air Compressor QA Testing (HVAC manufacturing)
E-Vehicle Motor End-of-Line Inspection (automotive OEMs)
Electric Motor Operational Monitoring (industrial automation)
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