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Gravity: Offline Language Learning Voice Recognition Sensor for micro:bit/Arduino / ESP32 - I2C & UART
Disponibilidad
En stock
En stock
Peso con empaque
0.20 kg
0.20 kg
Devolución
Si
Si
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Sobre este producto
- 【Easy to Use】: this voice recognition sensor is compatible with micro:bit, Arduino Uno and ESP32. It can be programmed using MakeCode and supports plug-and-play functionality. At the same time, this voice recognition sensor also support I2C and UART communication methods, with a Gravity interface.
- 【121 built-in fixed command words】: The offline voice recognition sensor comes with 121 built-in fixed command words, eliminating the need for users to record their own voices. For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.
- 【Self-Learning Function+Adding 17 Custom Command Words】: This voice recognition module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects. For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat.
- 【No network required】: This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions. Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
- 【Integrated Microphone and Speaker with Compact Size】: built-in speaker and external speaker interface for real-time voice feedback of recognition results. Compact size of only 49×32 mm, convenient for embedding in applications.
₡ 16,119
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₡ 16,119
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