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606eccb655a8737c9ba5f004 Sipeed MaixCube – All-in-One AI Development Platform Based on K210 (RISC-V) https://www.tenettech.com/s/59c9e4669bd3e7c70c5f5e6c/606ecb4b309f193561245586/front_pers.png

Description

Object recognition using Artificial Intelligence has never been this convenient ever before.
 
Sipeed MaixCube is an all-in-one development platform based on the M1n module which is powered by the Kendryte K210 core. It is equipped with a camera, TF card slot, user buttons, TFT display, lithium battery, speaker, microphone and an expansion interface. This provides a great platform for everyone to start learning about AI development.
 
The KendryteK210 which acts as the main control chip for the MaixCube, is very powerful. The module has a built-in 64-bit dual-core processor chip and 8M of on-chip SRAM. It has outstanding performance in AI machine vision and Auditory applications. It has a variety of hardware acceleration units such as KPU, FPU, FFT, etc. and the total computing power can be up to 1TOPS, which can conveniently realize machine vision/hearing algorithms of various application scenarios, and can also perform pre-processing work of voice scanning and voice data output.
 
Users can use MaixCube to easily build a face recognition access control system.
 
Features :
  • All-in-One Platform with Rich Peripherals
  • K210 RISC-V 64-bit Dual-Core CPU for Powerful AI Applications
  • Computing Power up to 1TOPS for Heavy Machine Vision Applications
  • Built-in FPU, KPU, FFT Hardware Acceleration Units
  • Built-in APU for High-Quality Audio Processing

A Wide Range of Sipeed Modules (SP-MOD) Supported :

Through the SP-MOD interface on the MaixCube which is a standard 2.54mm 2x4 Pin female header, with Vcc, GND, and 6 signals, you can connect to various SP-MOD modules and extend your AI projects further. 
  1. Handle Module
  2. USB In-line Module
  3. Microphone Array Adapter Board
  4. Weather Station Module
  5. PSRAM Module
  6. Credit Card Module
  7. Grove Adapter Board
  8. SP-MOD One-to-Multi-Adapter Board
  9. 1.14 inch LCD module
  10. Single point ToFu Module
  11. FPC Extension Module
  12. Bluetooth Module
  13. Ink Screen Module
  14. LoRa Module

Specifications :

Kendryte K210
  • Core : RISC-V Dual-Core 64-bit, with FPU
  • Frequency : 400MHz (overclockable to 600MHz)
  • SRAM : Built-in 8M Byte
  • Image recognition : QVGA @ 60fps / VGA @ 30fps
  • Voice recognition : Microphone array (8mics)
  • Network Model : supports YOLOv3/TinyYOLOv2/face recognition, etc.
  • Deep learning framework : Support frameworks such as TensorFlow / Keras / Darknet / Caffe
  • Peripherals : FPIOA, UART, GPIO, SPI, PC, PS, TIMER
  • Hardware acceleration unit :
    • KPU convolution operation accelerator
    • FPU floating point accelerator
    • APU Audio processor
    • FFT Fourier transform accelerator
MaixCube Module :
  • Onboard Peripherals :
    • Button x 3
    • Camera x 1
    • RGB LED x 2
    • 1.3 inch TFT screen
    • Electret Microphone x 1
    • 128Mbit Flash x 1
    • Accelerometer x 1
  • Onboard Interfaces :
    • USB Type-C Interface
    • Audio interface (supports external speakers)
    • TF card slot
    • Grove standard interface
    • SP-MOD interface (supports SP-MOD interface module)
  • Power supply : USB-Type-C / Internal lithium battery (200mAh)
Software Development :
  • Operating system : FreeRTOS, Linux
  • Face recognition : Recognition accuracy up to 98%
  • Development environment : MaixPy IDE, PlatformlIO IDE, Arduino IDE, etc.
  • Programming languages : C, C ++, MicroPython

Applications :

  • Face Detection
  • Object Recognition
  • FFT Spectrum Analysis
  • Game Simulation

Package Includes :

1 x Sipeed MaixCube – All-in-One AI Development Platform Based on K210 (RISC-V)

TT-FLS-973
in stock INR 4250.95
SEEEDSTUDIO
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Sipeed MaixCube – All-in-One AI Development Platform Based on K210 (RISC-V)

Sku: TT-FLS-973
₹4,250.95


Sold By: tenettech
Features
  • shipping in 10-12 Working days

Description of product

Description

Object recognition using Artificial Intelligence has never been this convenient ever before.
 
Sipeed MaixCube is an all-in-one development platform based on the M1n module which is powered by the Kendryte K210 core. It is equipped with a camera, TF card slot, user buttons, TFT display, lithium battery, speaker, microphone and an expansion interface. This provides a great platform for everyone to start learning about AI development.
 
The KendryteK210 which acts as the main control chip for the MaixCube, is very powerful. The module has a built-in 64-bit dual-core processor chip and 8M of on-chip SRAM. It has outstanding performance in AI machine vision and Auditory applications. It has a variety of hardware acceleration units such as KPU, FPU, FFT, etc. and the total computing power can be up to 1TOPS, which can conveniently realize machine vision/hearing algorithms of various application scenarios, and can also perform pre-processing work of voice scanning and voice data output.
 
Users can use MaixCube to easily build a face recognition access control system.
 
Features :
  • All-in-One Platform with Rich Peripherals
  • K210 RISC-V 64-bit Dual-Core CPU for Powerful AI Applications
  • Computing Power up to 1TOPS for Heavy Machine Vision Applications
  • Built-in FPU, KPU, FFT Hardware Acceleration Units
  • Built-in APU for High-Quality Audio Processing

A Wide Range of Sipeed Modules (SP-MOD) Supported :

Through the SP-MOD interface on the MaixCube which is a standard 2.54mm 2x4 Pin female header, with Vcc, GND, and 6 signals, you can connect to various SP-MOD modules and extend your AI projects further. 
  1. Handle Module
  2. USB In-line Module
  3. Microphone Array Adapter Board
  4. Weather Station Module
  5. PSRAM Module
  6. Credit Card Module
  7. Grove Adapter Board
  8. SP-MOD One-to-Multi-Adapter Board
  9. 1.14 inch LCD module
  10. Single point ToFu Module
  11. FPC Extension Module
  12. Bluetooth Module
  13. Ink Screen Module
  14. LoRa Module

Specifications :

Kendryte K210
  • Core : RISC-V Dual-Core 64-bit, with FPU
  • Frequency : 400MHz (overclockable to 600MHz)
  • SRAM : Built-in 8M Byte
  • Image recognition : QVGA @ 60fps / VGA @ 30fps
  • Voice recognition : Microphone array (8mics)
  • Network Model : supports YOLOv3/TinyYOLOv2/face recognition, etc.
  • Deep learning framework : Support frameworks such as TensorFlow / Keras / Darknet / Caffe
  • Peripherals : FPIOA, UART, GPIO, SPI, PC, PS, TIMER
  • Hardware acceleration unit :
    • KPU convolution operation accelerator
    • FPU floating point accelerator
    • APU Audio processor
    • FFT Fourier transform accelerator
MaixCube Module :
  • Onboard Peripherals :
    • Button x 3
    • Camera x 1
    • RGB LED x 2
    • 1.3 inch TFT screen
    • Electret Microphone x 1
    • 128Mbit Flash x 1
    • Accelerometer x 1
  • Onboard Interfaces :
    • USB Type-C Interface
    • Audio interface (supports external speakers)
    • TF card slot
    • Grove standard interface
    • SP-MOD interface (supports SP-MOD interface module)
  • Power supply : USB-Type-C / Internal lithium battery (200mAh)
Software Development :
  • Operating system : FreeRTOS, Linux
  • Face recognition : Recognition accuracy up to 98%
  • Development environment : MaixPy IDE, PlatformlIO IDE, Arduino IDE, etc.
  • Programming languages : C, C ++, MicroPython

Applications :

  • Face Detection
  • Object Recognition
  • FFT Spectrum Analysis
  • Game Simulation

Package Includes :

1 x Sipeed MaixCube – All-in-One AI Development Platform Based on K210 (RISC-V)