Ai-Thinker VC-02 module

SKU: TBF9-001

 

  • Power Supply: 5V
  • Current: 500mA
  • SPI: 2 MB (Bild in)
  • IO: 10

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259.00
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Description

About Ai-Thinker VC-02 module

VC-02 Module is a low-cost pure offline speech recognition module Ai-Thinker Technology. 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.

Features: 

  • Small in size
  • Offline Voice Recognition
  • Low power consumptions
  • high efficient working
  • low-cost
  • Longer life

Specifications

Item Type: AI and Display Modules
Length (mm): 18
Width (mm): 17
Height (mm): 3.2
Operating Temperature (°C) -40 to 85
Storage Environment(℃) -40 to 125
Power Supply(V) Supply Voltage 3.6 to 5
Interfaces UART/I2C/PWM/SPI/GPIO
UART Rate Default 115200 bps
SPI Flash 2MB (built-in)
Shipping Weight 0.004 kg
Shipping Dimensions 7 × 5 × 1 cm

Packages Includes: 

1 x Ai-Thinker VC-02 module

Description

About Ai-Thinker VC-02 module

VC-02 Module is a low-cost pure offline speech recognition module Ai-Thinker Technology. 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.

Features: 

  • Small in size
  • Offline Voice Recognition
  • Low power consumptions
  • high efficient working
  • low-cost
  • Longer life

Specifications

Item Type: AI and Display Modules
Length (mm): 18
Width (mm): 17
Height (mm): 3.2
Operating Temperature (°C) -40 to 85
Storage Environment(℃) -40 to 125
Power Supply(V) Supply Voltage 3.6 to 5
Interfaces UART/I2C/PWM/SPI/GPIO
UART Rate Default 115200 bps
SPI Flash 2MB (built-in)
Shipping Weight 0.004 kg
Shipping Dimensions 7 × 5 × 1 cm

Packages Includes: 

1 x Ai-Thinker VC-02 module

Specification

Overview

Weight 0.003 kg

Processor

Weight 0.003 kg

Display

Weight 0.003 kg

RAM

Weight 0.003 kg

Storage

Weight 0.003 kg

Video Card

Weight 0.003 kg

Connectivity

Weight 0.003 kg

Features

Weight 0.003 kg

Battery

Weight 0.003 kg

General

Weight 0.003 kg

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