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SMD Voice Module VC 02 Ai Thinker

The VC-02 is a low-cost pure offline speech recognition module by Ai-Thinker, featuring the US516P6 voice chip. It supports recognition of 150 commands in Chinese and English without internet connectivity, making it ideal for voice-controlled applications.

SMD Voice Module VC 02 Ai Thinker
₹468.48Buy Now

Specifications

Operating Voltage: 3.6V ~ 5V Processor: 32-bit RISC core at 240MHz Voice Chip: US516P6 Supported Languages: Chinese and English Command Capacity: 150 offline instructions Communication Interfaces: UART (max 3Mbps), I2C, DAC, PWM Mounting Type: Surface Mount Package: 20-SMD Module Operating Temperature: -40°C ~ 85°C GPIO: Configurable as external interrupt input and wake-up source Special Features: DSP instruction set, FPU floating-point operation Unit

Details

The Ai-Thinker VC-02 is an advanced offline speech recognition module designed for voice-controlled applications without requiring internet connectivity. Powered by the US516P6 voice chip with a 32-bit RISC core running at 240MHz, this module offers exceptional performance with DSP instruction set and FPU floating-point operation capabilities. It can recognize up to 150 commands in both Chinese and English languages, making it versatile for global applications. The module features multiple communication interfaces including UART (up to 3Mbps), I2C, DAC, and PWM, providing flexible integration options. All GPIO pins can be configured as external interrupt inputs and wake-up sources, enabling power-efficient designs. With its compact 20-SMD module package and wide operating temperature range (-40°C to 85°C), it's perfect for IoT devices, smart home systems, robotics, and industrial control applications. Choose the VC-02 for reliable, cost-effective voice recognition without privacy concerns associated with cloud-based solutions.

Tags

Voice RecognitionSMD ModuleOffline SpeechAI ThinkerUS516P6IoTUARTI2C

Alternatives

  • ESP32-S3 with Voice Recognition
  • ReSpeaker 2-Mics Pi HAT
  • Google AIY Voice Kit
  • Arduino Voice Recognition Module V3