Baby Cry Detection with Edge AI
Detecting infant crying from ambient audio for smart nursery monitors. Privacy-preserving since audio is classified on-device without cloud streaming — parents are alerted locally without recordings leaving the device. Distinguishes cry from other household sounds like TV, music, or pet noise using mel-spectrogram features and lightweight CNN classifiers. Low power consumption enables battery-operated monitor deployments.
Hardware Requirements
| Minimum RAM | 64 KB |
| Minimum Flash | 256 KB |
| Sensor Inputs | microphone |
| Typical Model Size | 30 KB (quantized int8) |
| Minimum Clock | 48 MHz |
Hardware Guides
No hardware guides for baby cry detection yet. Use the MCU Checker to find compatible hardware.
Industry Applications
Orchestrate Baby Cry Detection with ForestHub
Your devices run baby cry 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.