The VC-02-Kit is a development board designed for the VC-02 module, and it is a shared the same board with the VC-01-Kit. The development board integrates the CH340C serial port to a USB chip, providing a basic debugging interface and USB upgrade interface, designing wake-up light and cold and cooling lamp, providing status indication and control instructions, and easy to debug the simple control function. VC-02 is a low-cost pure offline speech recognition module developed by Shenzhen
Ai-Thinker Technology Co., Ltd. The module uses the voice chip US516P6 launched by Unisound, and continuously optimizes and innovates algorithms in speech recognition technology. The offline recognition algorithm and chip architecture are deeply integrated to provide customers with ultra-low-cost offline speech recognition solutions. It can be widely and quickly applied to smart homes, all kinds of smart small household appliances, 86 boxes, toys, lamps, and other products that need voice control. The US516P6 chip uses a 32-bit RSIC architecture core and incorporates a DSP instruction set
specifically for signal processing and speech recognition, an FPU arithmetic unit that supports floating-point operations, and an FFT accelerator. VC-02 supports offline identification of 150 local instructions, an RTOS lightweight system, rich peripheral interfaces, and simple and friendly custom tools.
1 x Ai-Thinker VC-02-Kit
The VC-02-Kit is a development board designed for the VC-02 module, and it is a shared the same board with the VC-01-Kit. The development board integrates the CH340C serial port to a USB chip, providing a basic debugging interface and USB upgrade interface, designing wake-up light and cold and cooling lamp, providing status indication and control instructions, and easy to debug the simple control function. VC-02 is a low-cost pure offline speech recognition module developed by Shenzhen
Ai-Thinker Technology Co., Ltd. The module uses the voice chip US516P6 launched by Unisound, and continuously optimizes and innovates algorithms in speech recognition technology. The offline recognition algorithm and chip architecture are deeply integrated to provide customers with ultra-low-cost offline speech recognition solutions. It can be widely and quickly applied to smart homes, all kinds of smart small household appliances, 86 boxes, toys, lamps, and other products that need voice control. The US516P6 chip uses a 32-bit RSIC architecture core and incorporates a DSP instruction set
specifically for signal processing and speech recognition, an FPU arithmetic unit that supports floating-point operations, and an FFT accelerator. VC-02 supports offline identification of 150 local instructions, an RTOS lightweight system, rich peripheral interfaces, and simple and friendly custom tools.
1 x Ai-Thinker VC-02-Kit
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