| Customization: | Available |
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| Chipset: | K210 |
| Origin: | China |
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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
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