Detecting the specific acoustic signature of breaking glass for security applications. Uses mel-spectrogram features fed into a small CNN to distinguish glass-break events from other loud sounds like slamming doors, dropping objects, or thunder. Extremely low resource requirements make this viable on the most constrained MCUs. Deployed in home security sensors, commercial alarm systems, and window monitors.
| Minimum RAM | 32 KB |
| Minimum Flash | 128 KB |
| Sensor Inputs | microphone |
| Typical Model Size | 15 KB (quantized int8) |
| Minimum Clock | 48 MHz |
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