Gravity: Offline Language Learning Voice Recognition Sensor for Micro:bit/Arduino / ESP32 - I2C & UART
With 121 built-in commands and the ability to learn 17 custom words, this voice recognition sensor is perfect for smart projects that require flexibility and ease of use.
Gravity: Offline Language Learning Voice Recognition Sensor for Micro:bit/Arduino / ESP32 - I2C & UART
Numéro d'article: 232138073

Gravity: Offline Language Learning Voice Recognition Sensor for Micro:bit/Arduino / ESP32 - I2C & UART

Numéro d'article: 232138073

TND 88

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With 121 built-in commands and the ability to learn 17 custom words, this voice recognition sensor is perfect for smart projects that require flexibility and ease of use.
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Ce qui se démarque

Voice Recognition
Utilizes advanced voice recognition technology for hands-free interaction, enhancing the user experience by allowing seamless communication in language learning without requiring a constant internet connection.
Multi-Platform Support
Compatible with Micro:bit, Arduino, and ESP32, enabling a broad range of applications for educators and hobbyists, ensuring versatility across different projects and learning environments.
I2C & UART Connectivity
Offers dual connectivity options for integration with various devices, making it easier for users to set up and expand their projects while ensuring reliable communication and performance.

Détails du produit

Shop Gravity: Offline Language Learning Voice Recognition Sensor for Micro:bit/Arduino / ESP32 - I2C & UART online at a best price in Tunisia. B0H747HWJR
CPU ModelUnknown
Connectivity TechnologyI2C
Processor BrandMultiple
Wireless CompabilityBluetooth
Compatible Devicesmicro:bit, Arduino, ESP32
Processor Count1
Item Dimensions L x W x H1.93"L x 1.26"W x 1.26"H (4.9 x 3.2 x 3.2 cm)
BrandDFROBOT
Model NameAI Offline Language Learning Voice and Speech Recognition Module
Built-In MediaBuilt-in speaker and interface for external speaker
ManufacturerDFROBOT
Model NumberSEN0539-EN
Mfr Part NumberSEN0539-EN
Included ComponentsBuilt-in speaker and interface for external speaker

À qui est-ce destiné ?

Suitable For
  • Language Learners

    Ideal for individuals looking to practice language pronunciation and listening skills via interactive voice recognition.

  • Educational Institutions

    Beneficial for schools integrating technology into language learning curriculums, enhancing student engagement and learning methods.

  • Developers and Hobbyists

    Perfect for tech enthusiasts wanting to create innovative language learning applications using microcontrollers like Arduino or ESP32.

Not Suitable For
  • Casual Users

    Not suitable for users seeking a simple, ready-to-use language learning solution without technical setups or coding.

DESCRIPTION DU PRODUIT

Gravity: Offline Language Learning Voice Recognition Sensor for Micro:bit/Arduino / ESP32 - I2C & UART

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is the Gravity Offline Language Learning Voice Recognition Sensor?

    répondre: The Gravity Offline Language Learning Voice Recognition Sensor is a versatile device designed to recognize and respond to voice commands. It works with platforms like Microbit, Arduino, and ESP32 using I2C and UART communication protocols. This sensor enables users to create interactive projects that incorporate voice recognition without needing internet connectivity. It’s ideal for educational purposes, DIY projects, and robotics, allowing users to implement voice commands in programmable contexts.
  • question: How does the voice recognition functionality work?

    répondre: The sensor utilizes advanced voice recognition algorithms to process audio signals and accurately identify specific commands. It can store up to 40 voice commands, which it recognizes offline. Users can teach the device their voice commands through a simple training procedure, enhancing its adaptability. This feature is particularly beneficial in applications such as home automation or educational tools, where hands-free control is desired.
  • question: Is the sensor compatible with all Microbit, Arduino, and ESP32 models?

    répondre: Yes, the Gravity Offline Language Learning Voice Recognition Sensor is designed to be compatible with various models of Microbit, Arduino, and ESP32. It connects via I2C and UART protocols, making it flexible for different applications. Before purchasing, ensure that your specific model supports these protocols. It’s perfect for hobbyists and educators looking to integrate voice functionality into their existing projects.
  • question: Can I use this sensor for my home automation projects?

    répondre: Absolutely! The Gravity Offline Language Learning Sensor can be an excellent addition to home automation systems. By recognizing voice commands, users can control smart home devices effortlessly. For example, you can set it up to turn on lights, adjust thermostats, or manage security systems through simple vocal instructions. This enhances both convenience and engagement in managing home environments.
  • question: What is the maximum range for voice recognition?

    répondre: The voice recognition feature works best within a range of 1 to 5 meters, depending on environmental noise levels and speaker volume. Optimal performance is achieved in quiet surroundings. This makes the sensor well-suited for close-interaction usage—such as in classrooms or personal projects where users will be near the device. Experimenting with placement can yield the best results.
  • question: Can multiple sensors be used together in a project?

    répondre: Yes, you can utilize multiple Gravity Offline Language Learning Sensors in a single project, depending on your design needs. Each sensor can be programmed to recognize different sets of commands, allowing for a more extensive interaction framework. For instance, one sensor could control lighting while another handles appliances, thereby expanding the functionality of your setup.
  • question: What are some creative projects I can build with this sensor?

    répondre: The possibilities are vast! You can create a voice-controlled robot, an interactive learning tool for languages, or even a voice-operated game. Projects like demonstrating science experiments where commands are spoken to trigger reactions or using it in art installations to activate animations are also popular. Engaging with this sensor allows for innovative learning and creativity in technology.
  • question: What languages does the sensor support for recognition?

    répondre: The sensor is primarily designed for English commands, but it can recognize other languages depending on how you train the voice models. Users can customize the training commands, making it possible to adapt the sensor to different languages as long as they are clearly pronounced. This capability is beneficial in multilingual environments or for educational purposes in language learning.
  • question: Where can I buy Gravity Offline Language Learning Voice Recognition Sensor For Microbit/Arduino/ESP32 in Tunisia?

    répondre: You can purchase the Gravity Offline Language Learning Voice Recognition Sensor for Microbit/Arduino/ESP32 on Ubuy. Ubuy offers a range of electronic components and ensures a secure shopping experience. This platform is ideal for accessing various tech gadgets, making it easier to find compatible components for your projects.
  • question: What are the power requirements for the sensor?

    répondre: The Gravity Offline Language Learning Sensor operates with a voltage range of 3.3V to 5V, making it compatible with most Microbit, Arduino, and ESP32 boards. This flexibility allows you to power the sensor from the same source as your microcontroller. Ensuring stable power supply can help maintain effective performance throughout your project.

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Avantages

  • High quality and durability
  • User-friendly design
  • Excellent performance
  • Stylish appearance

Les inconvénients

  • A bit heavier than expected.

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

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“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
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