The Baby Sound Module is an electronic functional module designed specifically for infants and young children. Its core function is to provide intelligent monitoring or interactive soothing through sound collection, processing, and feedback. Specific functions can be divided into the following two categories:
Using a high-sensitivity microphone to capture ambient sound, combined with a DSP chip (such as the WT2605A), it analyzes audio frequency, amplitude, and other characteristics to accurately identify infant cries with extremely low response latency.
Upon detecting a cry, it automatically triggers pre-stored soothing music (supporting various formats such as MP3 and WAV). Some solutions also dynamically adjust the volume based on the intensity of the cry, effectively alleviating infant anxiety.
When integrated with hardware such as a Raspberry Pi, crying alerts can be sent to parents' phones via Wi-Fi and linked to a camera to capture real-time footage, forming a closed-loop monitoring system.
The advanced module, equipped with AI algorithms (such as transfer learning models), can distinguish different types of cries, such as hunger and pain, and provide care recommendations with an accuracy rate of up to 99.3%.
The Baby Sound Module is an electronic functional module designed specifically for infants and young children. Its core function is to provide intelligent monitoring or interactive soothing through sound collection, processing, and feedback. Specific functions can be divided into the following two categories:
Using a high-sensitivity microphone to capture ambient sound, combined with a DSP chip (such as the WT2605A), it analyzes audio frequency, amplitude, and other characteristics to accurately identify infant cries with extremely low response latency.
Upon detecting a cry, it automatically triggers pre-stored soothing music (supporting various formats such as MP3 and WAV). Some solutions also dynamically adjust the volume based on the intensity of the cry, effectively alleviating infant anxiety.
When integrated with hardware such as a Raspberry Pi, crying alerts can be sent to parents' phones via Wi-Fi and linked to a camera to capture real-time footage, forming a closed-loop monitoring system.
The advanced module, equipped with AI algorithms (such as transfer learning models), can distinguish different types of cries, such as hunger and pain, and provide care recommendations with an accuracy rate of up to 99.3%.
