AI-Thinker VC-02 Offline Speech Recognition Module
The AI-Thinker VC-02 is a low-power offline voice recognition module based on the Unisound US516P6 chip, featuring a 32-bit RISC core with DSP and FPU for local command processing. It operates on 3.6-5V and connects via UART, I2C, SPI, or GPIO for easy integration into voice-controlled IoT endpoints.
Features
- Offline recognition of 150 local voice commands without cloud dependency.
- Powered by Unisound US516P6 chip with 32-bit RISC core, DSP, and FPU for efficient signal processing.
- Ultra-low power consumption ideal for battery-operated smart home devices and appliances.
- Rich peripheral interfaces including UART, I2C, SPI, PWM, and 10 GPIOs for flexible system control.
- Compact 17mm x 18mm form factor with built-in 2MB SPI flash for command storage.
Out of stock
The AI-Thinker VC-02 module integrates a dedicated offline speech recognition solution centered on the Unisound US516P6 voice processing chip. This chip employs a 32-bit RISC architecture enhanced with a digital signal processor (DSP) instruction set, a floating-point unit (FPU), and an FFT accelerator, enabling efficient, real-time audio analysis and command identification entirely on-device.
Designed for cost-sensitive and privacy-focused applications, the module runs a lightweight real-time operating system (RTOS) and supports a vocabulary of 150 pre-trained commands. Its peripheral suite includes UART (default 115200 bps), I2C, SPI, PWM, and multiple GPIOs, allowing direct control of relays, LEDs, or sensors. The module’s wide 3.6V to 5V supply range and industrial-grade operating temperature from -40°C to 85°C ensure reliability in diverse embedded environments.
Additional Information
| Weight | 0.004 kg |
|---|---|
| Dimensions | 1.8 × 1.7 cm |
