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# 2514/U, 7th 'A' Main Road, Opp. to BBMP Swimming Pool, Hampinagar, Vijayanagar 2nd Stage. Bangalore, IN
+918023404924 https://www.componentstores.com/s/59c9e4669bd3e7c70c5f5e6c/ms.settings/5256837ccc4abf1d39000001/59dafe26aef6e1d20402c4c3-480x480.png" [email protected]
6899c8f448e6f97ccc9ee5ac Ai-Thinker VC-02 module https://www.componentstores.com/s/59c9e4669bd3e7c70c5f5e6c/6899c8f548e6f97ccc9ee5ae/ewkfjisdf.jpg

Ai-Thinker VC-02 module

VC-02 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: 

  1. Small in size
  2. Low power consumptions
  3. high efficient working
  4. low-cost
  5. Longer life

Packages Includes: 

1 x Ai-Thinker VC-02 module

TT-RB-1292588
in stockINR 316
1 1
ewkfjisdf.jpg

Ai-Thinker VC-02 module

Sku: TT-RB-1292588
₹316


Sold By: tenettech
Features
  • Shipping in 25- 30 working days

Description of product

Ai-Thinker VC-02 module

VC-02 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: 

  1. Small in size
  2. Low power consumptions
  3. high efficient working
  4. low-cost
  5. Longer life

Packages Includes: 

1 x Ai-Thinker VC-02 module