Maixcube K210 Ai + Lot Mini Development Board Grove Interface Speech Recognition

• Chipset: K210
• Origin: China
• Model NO.: MaixCube

Product Description

 

 

 

 

 

 

Product parameters

Maixcube uses Kendryte K210 as the core main control, and the function is very powerful.The module has a built-in 64-bit dual-core processor chip and 8M of on-chip SRAM.

Convenient performance, built-in a variety of hardware acceleration units (KPU, FPU, FFT, etc.), the total computing power can be up to 1TOPS, can easily implement machine vision hearing algorithms for various application scenarios

Perform pre-processing of voice scanning and voice data output.

 

 

 

 

Maixcube module parameters

K210

1. Core: R | SC-V Dual Core64 bit with FPu

Chip basic parameters 2, main frequency: 40H (can be overclocked to 600MH + 2)

3. SRAM: built-in 8 M Byte

4. Image recognition: QVGA @ 60fps / GA @ 30fps

5. Voice recognition: microphone array (8mics)

6. Network model: support YOLOV3 \ Mobilenetv2 \ Tiny YOLOV2

Face recognition, etc.

7.Deep learning framework: support TensorFlow / Keras / Darknet / (Cafe

Mainstream framework

8. Peripherals: FP | OA, ∪ART, GP | O, SPl, | 2C, 2S, TMER

9.Hardware acceleration unit: KPU convolution operation accelerator

FPU floating point accelerator

· APU audio processor

· FFT Fourier transform accelerator

 

 

 

Module parameters

1. Onboard resources: · Button * 3

camera*

RGB LED2

· 1.3 inch TFT screen

· Electret Microphone

· 128 Mbit f | ash * 1

Acceleration sensor * 1

2. Onboard interface: USB Type-C interface

Audio interface (built-in 0.5W speaker)

TF card slot

Grove standard interface

 

 

SP-MOD interface (support SP-MOD interface module)

3.Size: 40 * 40 * 186mm

4.Power supply: USB-typeC or internal lithium battery (200mAh)

Software development

1.Operating system: FreeRtos and Standrad development ki

2. Face recognition: the recognition accuracy is up to 98%

3. Development environment: MaixPy IDE, PlatformIO IDE,

Arduino | DE etc.

4. Programming languages: CC ++, MicroPython

     wiki:

 

     Download: https://cn.dl.MAIX/HDK/Sipeed-Maix-Cube

 

     Github: sipeed/

 

     Official website:

 

     Forum:

 

     Telegram: https://t.me/sipeed