Glass Break Detection with Edge AI
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.
Hardware Requirements
| Minimum RAM | 32 KB |
| Minimum Flash | 128 KB |
| Sensor Inputs | microphone |
| Typical Model Size | 15 KB (quantized int8) |
| Minimum Clock | 48 MHz |
Hardware Guides
No hardware guides for glass break detection yet. Use the MCU Checker to find compatible hardware.
Industry Applications
Orchestrate Glass Break Detection with ForestHub
Your devices run glass break detection on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.