The K210 Visual Recognition Module is a powerful AI-enabled vision processing board built around the Kendryte K210 dual-core RISC-V processor. Designed for edge AI, machine vision, and embedded image processing, it offers outstanding performance for real-time recognition and intelligent applications — all without the need for a computer or cloud connection.

This compact module can handle image classification, object detection, face recognition, and speech processing locally, making it perfect for robotics, smart cameras, IoT devices, and AI projects. With built-in peripherals and flexible interfaces, the K210 is a complete platform for developing next-generation intelligent systems.

Specifications:

• Main Processor: Kendryte K210 Dual-Core 64-bit RISC-V
• Core Frequency: 400 MHz – 800 MHz
• Neural Network Accelerator (KPU):
  • Supports convolutional neural networks (CNN)
  • Up to 0.25 TOPS @ 0.3W power consumption
• SRAM: 8 MB (on-chip)
• Flash Memory: 16 MB external SPI flash
• Camera Interface: DVP and SPI supported
• Display Interface: SPI (supports LCD/TFT displays)
• Microphone / Audio Interface: I2S
• USB Interface: Micro USB (for power and programming)
• Communication: UART, SPI, I2C, PWM, GPIO
• Operating Voltage: 3.3V – 5V (via USB or external supply)
• Power Consumption: Low power edge AI operation (<0.5W typical)

Key Features:

• Dual-core 64-bit RISC-V AI processor optimized for vision and speech
• Built-in KPU (Kendryte Processing Unit) for real-time AI inference
• Supports face detection, object recognition, and image classification
• Compatible with MaixPy (MicroPython) and C SDK for easy programming
• Onboard camera interface and optional LCD display connector
• Standalone AI processing — no PC or internet needed
• Ideal for robotics, IoT, and AI vision research

Applications:

• Face and object recognition systems
• Smart robots and automation
• IoT and edge AI devices
• Gesture and motion tracking
• Image classification and counting
• Embedded visual monitoring systems

Why Choose the K210 Visual Module:

• Powerful AI processor with low power consumption
• Runs neural networks directly on the edge
• Compact design, easy integration with Arduino, ESP32, Raspberry Pi, and others
• Supported by MaixPy, Kendryte SDK, and open-source AI frameworks
• Great choice for AI education, research, and product prototyping