BPI-EAI80 AIoT 开发板

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BPI-EAI80 AIoT开发板介绍

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BPI-EAI80 AIoT 开发板采用格力零边界EAI80芯片设计.支持Dual-Cortex M4F@200MHz 500DMIPS和AI-NPU:CNN-NPU @300 MHz 300GOPS. 支持LVDS屏接口和摄像头接口,板载wifi,方便的做各种AI物联网应用。


  • 语音控制-关键字实时控制
  • 计算机视觉-物体和生物(脸,身体,姿势)的检测和识别,vSLAM
  • 终端AIoT -边缘计算,信息。安全,离线设备控制,系统监控
  • 传感器、考勤机、广告显示、可穿戴设备、智能无人零售
  • 家庭和建筑自动化-白色家电,暖通空调,照明,安全系统,物联网网关
  • 工业计算- EBS, plc, M2M, T&M,Auto-factory, HMI控制总成,二维码
  • 电机控制和功率转换- VFC,FOC, 3D/热敏打印机,ADAS,无人机,机器人
  • STEM教育



  • CPU Dual-Cortex M4F@200MHz 500DMIPS
  • AI-NPU:CNN-NPU @300 MHz 300GOPS
  • 2D Graph :Dual-Camera Max
  • SDRAM 8M
  • LCD 1024*768 TFT-LCD
  • CANBUS 2.0 A/B
  • ESP8266 Wifi onboard
  • 40PIN GPIO (share with LCD )
  • 2 Mic support
  • Size: 86x54mm


Banana PI BPI-EAI80 interface 750.JPG


About Edgeless EAI series

EAI Series adopt“Dual-CPU+NPU”structure, combine AI ability with real-time and low power embedded MCU. Rich peripherals and HW-security integrated, EAI series are designed to support next-gen. IoT applications, provide single-chip turnkey solution with AI recognition and MCU control. Edgeless Embedded AI Series crossover processor, EAI series,under the wave of AIoT, are launched for smart home, industry, stem education, energy MGT and etc., with AI ability, low power and cost-effective, provide complete HW/SW turnkey solutions. Target to establish the smallest AI+MCU module in the world, promote transboundary innovation, empower end-sides and industries.

  • More advanced structure and performance
  • Lower run and standby power consumption
  • Voice / Computer vision / 2D Graph accelerator
  • Real-time operation / Multiple HW-level security
  • Easy to use / Richer integration / Lower cost

EAI series crossover AI MCU, CPU core is based on ARM Cortex-M4, ARMv7-M supports a predefined 32-bit address space, with subdivision for code, data, and peripherals, and regions for on-chip and off-chip resources, where on-chip refers to resources that are tightly coupled to the processor. EAI is a multi-core microcontroller implementing Dual-ARM Cortex-M4 cores. All cores have access to the complete memory map. One ARM Cortex-M4 is used as the master processor. The other ARM Cortex-M4 core can be used as a co-processor to off-load the ARM Cortex-M4 and to perform complicated mathematical calculations. CNN processor is integrated in EAI, which can handle image detection and recognition use deep learning methods with high performance and low energy consumption. It supports mainstream CNN model such as Resnet-18, Resnet-34, Vgg16, GoogleNet, Lenet etc, convolutional with kernel size from 1 up to 7, channel/feature number up to 512, max/average pooling function with kernel

EAI chip Device Summary

Eai80 chip.png

EAI series Documents