Introduction: The Overlooked Blind Spot in Quality Control
On production lines for electric motors, automotive components, precision fans, and white goods compressors, there is a long-overlooked paradox: vibration can be 100% automatically tested, but acoustics remains dependent on manual sampling by the human ear. The reason is simple—vibration testing has mature solutions with contact sensors and data acquisition cards, while acoustic inspection has remained stuck in the era of "master technicians with handheld stethoscopes."
Manual listening has three fatal flaws: it is unquantifiable (cannot specify frequency or dB), unreproducible (different people—or the same person at different times—judge differently), and untraceable (no data can be archived in MES systems). As manufacturing faces a shortage of skilled workers and rising customer complaint costs, this blind spot must be filled.
About the Company
Shanghai Chuangdan Electronics Technology Co., Ltd. (founded 2015, based in Shanghai) is a National High-Tech Enterprise. The company focuses on smart hardware, sensors, A2B audio bus, and industrial acoustic applications, with multiple patents and software copyrights. Its existing industrial acoustic inspection station solution has achieved non-contact AI acoustic detection with cycle time ≤5 seconds per unit and accuracy >99.5% in automotive, 3C, and precision manufacturing scenarios.
Product Definition
The newly launched Industrial-Grade AI Acoustic Inspection Workstation is Chuangdan's next-generation fixed-installation product. It is not a "handheld gun"—it is a fixed, non-contact, edge-AI-powered acoustic inspection station.
The core philosophy is singular: the device itself must not make noise, so it can hear the device under test clearly.
Core Hardware Architecture
Layer Component Key Parameters
Base 6061 Aluminum, 150×150×20mm, ≥800g 4× M6 mounting holes, 4 silicone dampers to isolate structure-borne sound
Articulating Arm 3-axis indexed adjustment (extend 50mm / tilt ±30° / rotate ±45°) M4 lock screws per joint; post-lock displacement ≤0.1mm
Probe Brass shell with nickel plating (EM shielding), ≤60mm length M8 magnetic cardioid mic, ±15° pickup angle, 2mm silicone isolation pad between probe and arm
Interaction 3-mode toggle (AI / Playback / Threshold) + dual-color light ring Online version: no screen, direct PLC link. Offline version: 2.4" debug screen
AI Core: Dual-Model Parallel Architecture
The workstation runs on an ARM Cortex-M7 MCU with a fully CMSIS-DSP-optimized edge AI pipeline:
• AI Mode: 88-dimensional Mel-frequency spectral coefficients (MFSC) + SVM classifier → Pass/Fail + confidence % (e.g., "NG, Confidence 91%")
• Threshold Mode: Rule-based frequency-band energy judgment, no defective samples needed; technicians can see exactly which band exceeded limits
A physical toggle switch on the base enables one-second mode switching. The light ring changes color synchronously (Blue = AI, Red = Threshold), so floor operators always know which logic is active—no screen required.
Two Form Factors for Every Scenario
Form Factor Target Scenario Key Difference
Online Full-Inspection High-speed automated lines No screen/LED, direct PLC I/O, trigger-to-measure, lowest cost
Offline Sampling Anechoic chambers / lab benches 2.4" screen + status LEDs, debug mode with waveform/spectrum view