
Maix Bit AI Development Kit RISC-V K210 IOT
The Sipeed Maix Bit is a compact AI development board powered by the Kendryte K210 dual-core RISC-V processor. Designed for edge AI and IoT applications, it features an onboard neural network accelerator capable of running face detection, image classification, and other machine learning tasks at the edge without cloud connectivity.
This kit includes the Maix Bit board, a 2.4" LCD display, and an M12 camera module with a 4mm focal length HD lens (650nm IR cut filter). The board supports MicroPython via MaixPy firmware and is compatible with most OpenMV algorithms, making it accessible for rapid prototyping.
Key Features
- Dual-Core RISC-V K210 – 64-bit processor with independent FPU, nominal 400MHz (overclockable to 600MHz)
- Neural Network Accelerator – Hundreds of GOPS for on-device AI inference
- MicroPython Support – MaixPy firmware compatible with most OpenMV APIs
- Onboard MEMS Microphone – Audio input for voice and sound projects
- Camera & Display Included – M12 camera and 2.4" LCD in the kit
- Compact Form Factor – 53.3 × 25.4mm with breadboard-friendly 2.54mm headers
Specifications
- Processor: Kendryte K210, dual-core RISC-V 64-bit IMAFDC
- Frequency: 400MHz nominal (overclockable to 600MHz)
- Memory: 6MB general SRAM + 2MB AI SRAM
- Flash: 16MB onboard
- Camera Interface: 24-pin DVP FPC (compatible with OV2640, OV7740, OV5640, etc.)
- Display Interface: 24-pin 8-bit MCU LCD FPC
- Debugging: UART and JTAG
- USB: High-speed USB-to-serial via CH552
- Storage: TF card slot
- Indicators: RGB LED
- Input Voltage: 4.8–5.2V
- Input Current: >600mA
- Operating Temperature: -30°C to +85°C
- Dimensions: 53.3 × 25.4mm
Ideal For
- Edge AI and machine vision projects
- Face detection and image classification
- IoT prototyping with on-device inference
- Learning RISC-V architecture and MicroPython
Package Contents
- 1× Maix Bit AI Development Board
- 1× 2.4" LCD Display
- 1× M12 Camera Module (4mm HD lens with 650nm IR cut filter)
Original: $50.97
-70%$50.97
$15.29Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
The Sipeed Maix Bit is a compact AI development board powered by the Kendryte K210 dual-core RISC-V processor. Designed for edge AI and IoT applications, it features an onboard neural network accelerator capable of running face detection, image classification, and other machine learning tasks at the edge without cloud connectivity.
This kit includes the Maix Bit board, a 2.4" LCD display, and an M12 camera module with a 4mm focal length HD lens (650nm IR cut filter). The board supports MicroPython via MaixPy firmware and is compatible with most OpenMV algorithms, making it accessible for rapid prototyping.
Key Features
- Dual-Core RISC-V K210 – 64-bit processor with independent FPU, nominal 400MHz (overclockable to 600MHz)
- Neural Network Accelerator – Hundreds of GOPS for on-device AI inference
- MicroPython Support – MaixPy firmware compatible with most OpenMV APIs
- Onboard MEMS Microphone – Audio input for voice and sound projects
- Camera & Display Included – M12 camera and 2.4" LCD in the kit
- Compact Form Factor – 53.3 × 25.4mm with breadboard-friendly 2.54mm headers
Specifications
- Processor: Kendryte K210, dual-core RISC-V 64-bit IMAFDC
- Frequency: 400MHz nominal (overclockable to 600MHz)
- Memory: 6MB general SRAM + 2MB AI SRAM
- Flash: 16MB onboard
- Camera Interface: 24-pin DVP FPC (compatible with OV2640, OV7740, OV5640, etc.)
- Display Interface: 24-pin 8-bit MCU LCD FPC
- Debugging: UART and JTAG
- USB: High-speed USB-to-serial via CH552
- Storage: TF card slot
- Indicators: RGB LED
- Input Voltage: 4.8–5.2V
- Input Current: >600mA
- Operating Temperature: -30°C to +85°C
- Dimensions: 53.3 × 25.4mm
Ideal For
- Edge AI and machine vision projects
- Face detection and image classification
- IoT prototyping with on-device inference
- Learning RISC-V architecture and MicroPython
Package Contents
- 1× Maix Bit AI Development Board
- 1× 2.4" LCD Display
- 1× M12 Camera Module (4mm HD lens with 650nm IR cut filter)























