M1 Dock AI Development Kit
The M1 Dock AI Development Kit is a compact embedded AI platform built around the Kendryte K210 chip — a dual-core RISC-V processor with an integrated neural network processor (KPU) and audio processor (APU). With MicroPython support built in, you can start developing AI applications quickly.
The kit includes the M1 Dan Dock board, an OV2640 camera, and a 2.4-inch LCD (320×240). It supports face detection, object and colour recognition, voice processing, MNIST handwritten digit recognition, and tiny YOLOv2 — all running on-device at low power.
Key Features
- Kendryte K210 AI Chip – Dual-core RISC-V with FPU, 400 MHz adjustable frequency
- Neural Network Processor (KPU) – Hardware CNN accelerator for on-device AI inference
- Audio Processor (APU) – Voice direction scanning and speech data processing
- 8 MB On-Chip SRAM – No external memory required for many AI models
- MicroPython Support – Get started with AI development quickly
- Built-In Wi-Fi – ESP8285 chip for wireless connectivity
- Hardware Accelerators – AES, SHA256, and FFT
- 72-Pin Full Lead-Out – All pins accessible and freely mappable via FPIOA
Specifications
- Processor – Kendryte K210, dual-core RISC-V with FPU
- Frequency – Up to 400 MHz
- SRAM – 8 MB on-chip
- Wi-Fi – ESP8285 (onboard)
- Camera – OV2640 via DVP interface (FPC24P socket)
- Display – 2.4-inch LCD, 320 × 240 resolution
- Audio – Built-in microphone, power amplifier IC, high-speed DAC
- Storage – TF card slot
- Interfaces – UART, I2C, I2S, SPI, JTAG, DMAC, USB Type-C
- I/O Voltage – 3.3V / 1.8V dual voltage support
- USB – Type-C with onboard USB-to-serial for programming and debugging
AI Capabilities
- Face detection and recognition
- Object and colour recognition
- MNIST handwritten digit recognition
- Tiny YOLOv2 object detection
- Voice processing and sound localisation (with microphone array expansion)
- Feature map visualisation
Ideal For
- Edge AI and machine vision development
- Voice and audio processing projects
- IoT with on-device AI inference
- Learning AI and neural networks on embedded hardware
Package Contents
- 1× M1 Dan Dock Board
- 1× OV2640 Camera Module
- 1× 2.4-inch LCD (320 × 240)
Original: $66.00
-70%$66.00
$19.80Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
The M1 Dock AI Development Kit is a compact embedded AI platform built around the Kendryte K210 chip — a dual-core RISC-V processor with an integrated neural network processor (KPU) and audio processor (APU). With MicroPython support built in, you can start developing AI applications quickly.
The kit includes the M1 Dan Dock board, an OV2640 camera, and a 2.4-inch LCD (320×240). It supports face detection, object and colour recognition, voice processing, MNIST handwritten digit recognition, and tiny YOLOv2 — all running on-device at low power.
Key Features
- Kendryte K210 AI Chip – Dual-core RISC-V with FPU, 400 MHz adjustable frequency
- Neural Network Processor (KPU) – Hardware CNN accelerator for on-device AI inference
- Audio Processor (APU) – Voice direction scanning and speech data processing
- 8 MB On-Chip SRAM – No external memory required for many AI models
- MicroPython Support – Get started with AI development quickly
- Built-In Wi-Fi – ESP8285 chip for wireless connectivity
- Hardware Accelerators – AES, SHA256, and FFT
- 72-Pin Full Lead-Out – All pins accessible and freely mappable via FPIOA
Specifications
- Processor – Kendryte K210, dual-core RISC-V with FPU
- Frequency – Up to 400 MHz
- SRAM – 8 MB on-chip
- Wi-Fi – ESP8285 (onboard)
- Camera – OV2640 via DVP interface (FPC24P socket)
- Display – 2.4-inch LCD, 320 × 240 resolution
- Audio – Built-in microphone, power amplifier IC, high-speed DAC
- Storage – TF card slot
- Interfaces – UART, I2C, I2S, SPI, JTAG, DMAC, USB Type-C
- I/O Voltage – 3.3V / 1.8V dual voltage support
- USB – Type-C with onboard USB-to-serial for programming and debugging
AI Capabilities
- Face detection and recognition
- Object and colour recognition
- MNIST handwritten digit recognition
- Tiny YOLOv2 object detection
- Voice processing and sound localisation (with microphone array expansion)
- Feature map visualisation
Ideal For
- Edge AI and machine vision development
- Voice and audio processing projects
- IoT with on-device AI inference
- Learning AI and neural networks on embedded hardware
Package Contents
- 1× M1 Dan Dock Board
- 1× OV2640 Camera Module
- 1× 2.4-inch LCD (320 × 240)
