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Ai-Thinker NodeMCU VC-02 Offline Speech Recognition voice Module

Ai-Thinker VC-02 Offline Speech Recognition Control Module The VC-02-Kit is a development board for the Voice Recognition Module, sharing the same design as the VC-01-Kit. It features an integrated CH340C USB-to-serial chip for debugging and upgrading, with added functionality like wake-up light, cold, and cooling lamp control, along with status indicators for easy debugging and control. Developed by Shenzhen Ai-Thinker Technology Co., Ltd., the Ai-Thinker VC-02 is a cost-effective offline speech recognition solution that uses the US516P6 voice chip from Unisound. This VC02 voice module offers deep integration of offline recognition algorithms, providing an ultra-low-cost speech recognition solution for embedded applications. It is ideal for smart homes, small household appliances, 86 boxes, toys, lamps, and more, enabling reliable voice control without internet connectivity. The US516P6 chip features a 32-bit RISC architecture, DSP instructions for signal processing, an FPU unit for floating-point operations, and an FFT accelerator. The VC02 module supports 150 local offline commands and a lightweight RTOS system, making it easy to customize with a variety of peripheral interfaces. Whether you are building automation systems or interactive electronics projects, the VC02 delivers efficient offline voice recognition performance. Features All GPIOs can be set up as external interrupt inputs and wake-up sources One full-duplex UART with a maximum speed of 3Mbps Supports I2C, DAC, PWM, and multiple interfaces Includes 242KB of high-speed SRAM Equipped with 2MB FLASH memory Dual-channel DAC output support 32-bit RISC core running at 240MHz Supports DSP instruction set and FPU for floating-point operations Reliable offline speech recognition support in the VC02 module Suitable for smart home and embedded AI applications using the Ai-Thinker VC-02
Ai-Thinker NodeMCU VC-02 Offline Speech Recognition voice Module - Image 2
Ai-Thinker NodeMCU VC-02 Offline Speech Recognition voice Module - Image 3

Ai-Thinker NodeMCU VC-02 Offline Speech Recognition voice Module

₵185.00

The Ai-Thinker NodeMCU-VC-02-KIT is a development board for offline speech recognition, featuring the US516P6 voice chip for advanced voice control without cloud dependency. It includes a CH340C serial to USB chip for debugging, supports multiple interfaces (I2C, DAC, PWM), and runs on a 32-bit RISC core at 240 MHz with DSP and FPU capabilities. The module offers 242 KB SRAM, 2 MB Flash, dual-channel DAC output, and comes with an RTOS SDK for easy development, ideal for smart home devices, appliances, toys, and more

4 in stock

SKU: 325677 Category:

Description

Ai-Thinker VC-02 Offline Speech Recognition Control Module

The VC-02-Kit is a development board for the Voice Recognition Module, sharing the same design as the VC-01-Kit. It features an integrated CH340C USB-to-serial chip for debugging and upgrading, with added functionality like wake-up light, cold, and cooling lamp control, along with status indicators for easy debugging and control. Developed by Shenzhen Ai-Thinker Technology Co., Ltd., the Ai-Thinker VC-02 is a cost-effective offline speech recognition solution that uses the US516P6 voice chip from Unisound.

This VC02 voice module offers deep integration of offline recognition algorithms, providing an ultra-low-cost speech recognition solution for embedded applications. It is ideal for smart homes, small household appliances, 86 boxes, toys, lamps, and more, enabling reliable voice control without internet connectivity.

The US516P6 chip features a 32-bit RISC architecture, DSP instructions for signal processing, an FPU unit for floating-point operations, and an FFT accelerator. The VC02 module supports 150 local offline commands and a lightweight RTOS system, making it easy to customize with a variety of peripheral interfaces. Whether you are building automation systems or interactive electronics projects, the VC02 delivers efficient offline voice recognition performance.

Features

  • All GPIOs can be set up as external interrupt inputs and wake-up sources
  • One full-duplex UART with a maximum speed of 3Mbps
  • Supports I2C, DAC, PWM, and multiple interfaces
  • Includes 242KB of high-speed SRAM
  • Equipped with 2MB FLASH memory
  • Dual-channel DAC output support
  • 32-bit RISC core running at 240MHz
  • Supports DSP instruction set and FPU for floating-point operations
  • Reliable offline speech recognition support in the VC02 module
  • Suitable for smart home and embedded AI applications using the Ai-Thinker VC-02

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