Baby Cry Detection
Let devices understand your baby's needs
A deep learning-based, high-accuracy baby cry detection engine that reliably identifies infant crying in complex home environments, distinguishing it from other environmental sounds and speech. Ideal for baby monitors, smart cameras, and in-car child presence detection systems.
Accuracy
97.2%
Model Size
0.2–1 MB
Inference Latency
Configurable
Supported Platforms
ARM / MIPS / x86_64 + SVP / Magik
Sample Rate
16 kHz
Inference latency and model tier are configurable to platform resources — stronger platforms can run larger variants with lower latency.
Typical Applications
Baby Monitors
Real-time cry detection with instant parent notifications
Smart Cameras
Built-in cry recognition to distinguish from generic sound alerts
In-Car CPD
Post-engine-off child cry detection, compliant with CPD regulations
Daycare Monitoring
Multi-room infant cry monitoring and alerting