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Ai-Thinker

Ai-Thinker VC-01-Kit

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IoT Development Boards for everyday users

The Ai-Thinker VC-01-Kit by Ai-Thinker is a value-for-money iot development boards designed for everyday users. It features Item Type: Kit and Model No. / Name: VC-01-Kit.

₹1,317
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Total: ₹1,317
Buying tip: A well-rounded choice at a fair price. Recommended for most buyers.
Estimated delivery: 18 Aug1 Sept
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Quick Specs

Item Type: Kit
Model No. / Name: VC-01-Kit
Operating Temperature (°C): -40 ~ 85
Supply Voltage: 5
AC Current(A): 500
Interface: UART/I2C/PWM/DAC/GPIO

Ideal For

Everyday convenience
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SKU: robu-1292587Category: IoT Development Boards

About This Product

The Ai-Thinker VC-01-Kit by Ai-Thinker is a value-for-money iot development boards designed for everyday users. It delivers reliable performance at an accessible price.

Key Specifications

  • Item Type: Kit
  • Model No. / Name: VC-01-Kit
  • Operating Temperature (°C): -40 ~ 85
  • Supply Voltage: 5 — works with standard household power
  • AC Current(A): 500
  • Interface: UART/I2C/PWM/DAC/GPIO — compatible with modern devices
  • I/O pins: 5
  • UART Rate: Default 115200 bps

Why Buy from Pricio?

Pricio sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

The VC-01-Kit is a development board designed for the VC-01 module, and it is a shared the same board with the VC-02-Kit. The development board integrates the CH340C serial port to the USB chip, providing a basic debugging interface and USB upgrade interface, the design of a wake-up light and cold and cooling lamp, provides status indication and control instructions, and easy to debug the simple control function. VC-01 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-01 supports offline identification of 150 local instructions, an RTOS lightweight system, rich peripheral interfaces, and simple and friendly custom tools.

Feature: 

  1. 32bit RISC core, running at 240MHz
  2. Support DSP instruction set and FPU floating point operation unit
  3. FFT Accelerator: Support up to 1024-point complex FFT/IFFT operations, or 2048-point real FFT/IFFT operations
  4. Unisound customized speech algorithm operator

Packages Includes: 

1 x  Ai-Thinker VC-01-Kit

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.