Sipeed MAix Bit Suit with LCD and Camera

  • FabrikantSeeed Studio

Omschrijving

Sipeed AI & IoT board is not only hardware but also provide an end-to-end, hardware + software infrastructure for the deployment of AI-based solutions.

Sipeed AI & IoT board can be used for a growing number of use-cases such as:

  • predictive maintenance
  • machine vision
  • voice recognition
  • anomaly detection
  • robotics

Specifications

CPU: RISC-V Dual Core 64bit, 400Mh adjustable Powerful dual-core 64-bit open architecture-based
processor with rich community resources
Debugging Support High-speed UART and JTAG interface for debugging
GPIO interface All GPIOs connected to header 2*20 2.54mm
Micro SD card?TF card? slot Support Self-elastic card holder
One-click Download circuit Just connect the USB typeC cable to complete the download
Onboard CH340, 2Mbps baud rate
DVP Camera connector 24P 0.5mm FPC connector
LCD connector 8bit MCU LCD 24P 0.5mm FPC connector
Button RST button and USR button

CPU

  • 1st competitive RISC-V chip
  • 28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM, 400MHz frequency (able up to 800MHz)
  • KPU (Neural Network Processor):
    • 64 KPU
    • 576bit width
    • convolution kernels
    • any form of activation function.
    • 0.25TOPS (trillion operations per second) @ 0.3W 400MHz,
    • When overclocked to 800MHz, it offers 0.5TOPS
  • APU (Audio Processor)
    • 8 mics
    • up to 192 kHz sample rate
    • FFT unit
  • Flexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip
  • DVP camera and MCU LCD interface, you can connect a DVP camera, run your algorithm, and display on LCD
  • Other accelerators and peripherals
    • AES Accelerator
    • SHA256 Accelerator
    • FFT Accelerator (not APU's one)
    • OTP
    • UART
    • WDT
    • IIC
    • SPI
    • I2S
    • TIMER
    • RTC
    • PWM

Software

The Sipeed AI & IoT board supports original standalone SDK, FreeRTOS SDK based on C/C++.
You can port micropython on it: http://en.maixpy.sipeed.com/.

It also supports FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD. And it has zmodem, vi, SPIFFS on it, so that you can edit python directly or sz/rz file to board.

Seedstudio offers even more support to your project with their GitHub contributions:
https://github.com/sipeed/MaixPy
https://github.com/sipeed/MaixPy_Doc_Us_En_Backup

Deep Learning

The Sipeed AI & IoT board supports a fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have a model compiler to compile models to its model format.
It supports tiny-yolo, mobilenet-v1, and, TensorFlow Lite! Many TensorFlow Lite model can be compiled and run on the Sipeed AI & IoT board!

Software Features

  • Support FreeRtos and Standard development kit
  • Support MicroPython on M1
  • Machine vision based on convolutional neural network
  • High-performance microphone array processor

Electrical Specifications

Supply voltage 4.8 V ~ 5.2 V
Supply current > 600 mA
Temperature rise < 30 K
Working temperature - 30 ? ~ 85 ?
Productformulier

Sipeed AI & IoT board is not only hardware but also provide an end-to-end, hardware + software infrastructure for the... Lees meer

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€ 34,95 incl. BTW
Leden € 31,46

    Details

    SKU: 18887
    EAN: 110991190

    Omschrijving

    Sipeed AI & IoT board is not only hardware but also provide an end-to-end, hardware + software infrastructure for the deployment of AI-based solutions.

    Sipeed AI & IoT board can be used for a growing number of use-cases such as:

    • predictive maintenance
    • machine vision
    • voice recognition
    • anomaly detection
    • robotics

    Specifications

    CPU: RISC-V Dual Core 64bit, 400Mh adjustable Powerful dual-core 64-bit open architecture-based
    processor with rich community resources
    Debugging Support High-speed UART and JTAG interface for debugging
    GPIO interface All GPIOs connected to header 2*20 2.54mm
    Micro SD card?TF card? slot Support Self-elastic card holder
    One-click Download circuit Just connect the USB typeC cable to complete the download
    Onboard CH340, 2Mbps baud rate
    DVP Camera connector 24P 0.5mm FPC connector
    LCD connector 8bit MCU LCD 24P 0.5mm FPC connector
    Button RST button and USR button

    CPU

    • 1st competitive RISC-V chip
    • 28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM, 400MHz frequency (able up to 800MHz)
    • KPU (Neural Network Processor):
      • 64 KPU
      • 576bit width
      • convolution kernels
      • any form of activation function.
      • 0.25TOPS (trillion operations per second) @ 0.3W 400MHz,
      • When overclocked to 800MHz, it offers 0.5TOPS
    • APU (Audio Processor)
      • 8 mics
      • up to 192 kHz sample rate
      • FFT unit
    • Flexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip
    • DVP camera and MCU LCD interface, you can connect a DVP camera, run your algorithm, and display on LCD
    • Other accelerators and peripherals
      • AES Accelerator
      • SHA256 Accelerator
      • FFT Accelerator (not APU's one)
      • OTP
      • UART
      • WDT
      • IIC
      • SPI
      • I2S
      • TIMER
      • RTC
      • PWM

    Software

    The Sipeed AI & IoT board supports original standalone SDK, FreeRTOS SDK based on C/C++.
    You can port micropython on it: http://en.maixpy.sipeed.com/.

    It also supports FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD. And it has zmodem, vi, SPIFFS on it, so that you can edit python directly or sz/rz file to board.

    Seedstudio offers even more support to your project with their GitHub contributions:
    https://github.com/sipeed/MaixPy
    https://github.com/sipeed/MaixPy_Doc_Us_En_Backup

    Deep Learning

    The Sipeed AI & IoT board supports a fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have a model compiler to compile models to its model format.
    It supports tiny-yolo, mobilenet-v1, and, TensorFlow Lite! Many TensorFlow Lite model can be compiled and run on the Sipeed AI & IoT board!

    Software Features

    • Support FreeRtos and Standard development kit
    • Support MicroPython on M1
    • Machine vision based on convolutional neural network
    • High-performance microphone array processor

    Electrical Specifications

    Supply voltage 4.8 V ~ 5.2 V
    Supply current > 600 mA
    Temperature rise < 30 K
    Working temperature - 30 ? ~ 85 ?

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