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    Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART Robotics
    • Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART Robotics
    • Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART Robotics
    • Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART Robotics
    • Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART Robotics

    Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART

    RBD-2496
    DFRobot

    • Operating Voltage: 3.3 – 5V
    • Maximum Operating Current: ≤370 mA (5V)
    • Communication: I2C/UART
    • I2C Address: 0x64
    • Fixed Command: 121
    • Self-learning function
    BDT 2,269
    BDT 2,269 BDT 2,269 BDT 2,269 BDT 2,269
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    Description

    This is DFRobot Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 – I2C & UART. This Gravity: Offline Voice Recognition Sensor is built around an offline voice recognition chip, which can be directly used without an internet connection. It comes with 121 built-in fixed command words 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.

    Voice recognition is a computer technology that recognizes and converts speech signals into editable text or operational commands through analysis. It allows people to interact with computers by speaking without using a mouse, keyboard, or other input devices. Voice recognition technology has been widely used in applications such as voice assistants, smart homes, voice search, and voice recognition notebooks.

    The module features a dual microphone design with better noise resistance and a longer recognition distance, making it relatively accurate and reliable even in noisy environments. It comes with a built-in speaker and an external speaker interface for real-time voice feedback of recognition results. The module uses both I2C and UART communication methods and supports various 3.3V or 5V controllers, including the micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle series, and more.

    This voice recognition module provides a reliable and flexible voice interaction solution for makers and electronics enthusiasts, and it can be applied to any applications where voice control or interaction is desirable, such as all kinds of smart home appliances, toys, lamps, and robotics projects. Featured By RoboticsBD.

    The module boasts high compatibility, supporting both I2C and UART communication methods, while also being compatible with various 3.3V or 5V controllers, such as micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle ESP32 series, and more. This provides a flexible solution for building smart home systems, robotics projects, and more.

    Product Images are shown for illustrative purposes only and may differ from the actual product.

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    Features:

    1. Self-learning function: Control the module to learn command words by the voice, and any audio can be trained as a command
    2. Support I2C and UART, with a Gravity interface
    3. Compatible with 3.3V/5V
    4. Built-in with 121 commonly-used fixed command words
    5. The module has a built-in speaker and an interface for an external speaker, which can provide real-time voice feedback on recognition results
    6. Equipped with power indicator (red) and recognition status indicator (blue)
    7. Dual microphones provide better noise resistance and longer recognition distance
    8. Compatible with Arduino controllers: Arduino UNO, Arduino Leonardo, Arduino MEGA, FireBeetle series controllers, Raspberry Pi, ESP32

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    Applications:

    1. Voice recognition interaction
    2. Voice-controlled terminal
    3. Competition and project development

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    General Specification
    Maximum Operating Current≤370 mA (5V)
    CommunicationI2C/UART
    I2C Address0x64
    Fixed Command121
    Fixed Wake-up Command1
    Custom Command17
    Learning Activation Command1
    Onboard Microphone Sensitivity-28db
    Module Size49×32 mm/1.93×1.26”
    Weight (g)16
    Shipping Weight0.035 kg
    Shipping Dimensions8 × 7 × 3 cm

    Please allow 5% measuring deviation due to manual measurement.

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    High Compatibility

    The module boasts high compatibility, supporting both I2C and UART communication methods, while also being compatible with various 3.3V or 5V controllers, such as micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle ESP32 series, and more. This provides a flexible solution for building smart home systems, robotics projects, and more.

    Package Includes:

    1 x Gravity: Offline Language Learning Voice Recognition Sensor 

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    Product Details
    RBD-2496
    3 Items

    Specific References

    EAN13
    2496
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