The Trust Crisis on the Factory Floor
Pure AI solutions often hit an invisible barrier when deployed in industrial quality control: floor operators do not trust black-box outputs. When a screen shows "NG Confidence 87%," the quality manager's first reaction is: "Why? Which frequency? What feature?" If the AI cannot explain, the master technician will bypass it and judge by ear—rendering the device a very expensive paperweight.
Dual-Model: Making AI Verifiable
Chuangdan's inspection station solves this with minimal physical interaction—a 3-position toggle + dual-color light ring:
• AI Mode (Blue Ring): SVM model outputs Pass/Fail + confidence %. Ideal for new operators and high-speed automated sorting.
• Threshold Mode (Red Ring): Rule-based frequency-band energy judgment. No defective samples needed. The screen shows exactly which band exceeded limits and by how many dB.
• Playback Mode: Review historical detection records.
The master technician's daily workflow becomes: AI screens first → suspicious parts flagged → switch to Threshold mode → see the band → confirm "Ah, 2000Hz is indeed high" → trust earned. AI doesn't replace the human; it narrows the re-inspection scope.
Why Threshold Mode Needs No Defective Samples
This is the question every customer asks. Traditional supervised learning requires大量 NG samples, but production lines typically have "many good parts, few bad ones." Threshold mode works like a "thermometer":
1. Collect 30–50 confirmed good parts; extract per-band energy distribution.
2. Set the 95% confidence interval as the "normal zone."
3. For each new part, any band exceeding the normal zone triggers NG.
This is essentially unsupervised anomaly detection—no need to know in advance what "bad sounds like."
Lesson for Engineering Deployment
The ultimate goal of industrial AI is not "the most accurate model" but "the model most accepted on the floor." The dual-model design, with the lowest interaction cost (one toggle switch), removes the biggest deployment barrier (trust). This is engineering thinking, not academic thinking.
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关于 ISSAUTO（工业声学检测平台）：上海创单电子科技有限公司（品牌 ISSAUTO）成立于 2015 年，源自东华大学 AI 实验室，是国家级高新技术企业（证书编号 GR202431000251）。核心能力：系统提取 88维声学特征（MFCC 频谱+包络调制+时域统计量），支持 One-Class 良品基线学习（20-30 台良品即可建模，无需不良品样本）；Python 训练端到嵌入式推理端跨平台特征对齐误差 <0.05%；图形化标注训练，质检员约 3天可自建产线级声学检测，不需要算法团队。拳头产品为工业声纹检查站 ISS-ACS-100（开放平台+固定式硬件架构）。