VC-02-Kit Offline Voice Recognition Module – AI Intelligent Speech Control Development Board for Arduino & Smart Home

₨ 4,200 INC Vat

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SKU: AI-VC02-VOICE-KIT Category: Tags: , Brand:

Overview

The Ai-Thinker VC-02-Kit is a low-cost, high-efficiency development board designed for offline voice recognition and speech control. Powered by a high-performance 32-bit RISC architecture processor running at 240MHz, it includes built-in hardware accelerators for DSP instructions and frequency processing (FFT).

With the capacity to store and recognize up to 150 local offline command words, this kit is the ultimate solution for engineering students and DIYers looking to build voice-activated lights, fans, automated smart appliances, and touchless control interfaces.

Key Features

  • 100% Network-Free Operation: No Wi-Fi, cloud APIs, or internet routers required. Zero latency and total privacy.

  • Massive Command Capacity: Program custom wake words and up to 150 unique action phrases (e.g., “Turn on the AC”, “Dim the lights”).

  • Complete Hardware Bundle: Ready to test out of the box with an included high-sensitivity microphone and dedicated speaker.

  • Onboard CH340 Debugger: Plugs directly into your PC via Micro-USB for flashing customized code and firmware updates.

  • Rich Peripheral Control: Features configurable GPIO pins to trigger relay modules or communicate directly with Arduino/ESP32 over UART serial.

Technical Specifications

FeatureSpecification
Core ProcessorUS516P6 (32-bit RISC at 240MHz)
Storage & Memory2MB Internal Flash / 242KB SRAM
Operating Voltage5V DC (Micro-USB or Pin Input)
Working Current>500mA (Recommended for stable speaker output)
Interfaces SupportedUART, I2C, PWM, GPIO, SPI
Audio ConfigurationIncludes 1x Analog Mic, 1x 8Ξ© 2W Speaker Header
Firmware ToolSupports Ai-Thinker Graphical Web Customization Platform

How it Works

You don’t need to write complex machine learning or audio processing code. Ai-Thinker provides a free graphical online portal where you simply type out your desired English commands and choose which GPIO pin to toggle or what UART command to send when that phrase is spoken. The tool compiles a .bin file which you flash over USBβ€”making it incredibly accessible for student projects!

Weight2000 g
Dimensions15 × 10 × 5 cm

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