Embedded Computers

Banana Pi BPI-EAI80 Board for Low-Power IoT & Embedded Applications

banana pi bpi eai
Written by androidpimp

Banana Pi BPI-EAI80

Microcontrollers will have an important role to play in AIoT (AI + IoT) applications as they provide the lowest cost and power consumption. The is Banana Pi BPI-EAI80 a new miniature and compact mainboard designed for low-power IoT & embedded systems, equipped with a cost-effective Dual-Cortex M4F Core Processor designed for various low power consumption artificial intelligence and IoT operating systems.

Banana Pi BPI-EAI80 IoT Board

bananapi bpi eai
bananapi bpi eai

The 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, while 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 into 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

Banana Pi BPI-EAI80 | Layout

banana pi bpi eai interfaces
banana pi bpi eai interfaces


CPUDual-Cortex [email protected] 500DMIPS
2D GraphDual-Camera Max
DisplayLCD 1024*768 TFT-LCD
WiFiESP8266 Wifi onboard
GPIO40PIN GPIO (share with LCD )
LCD InterfaceCapable of supporting 1024*768 TFT-LCD Display
2 Mic supportYes

Target Applications

  • Voice Control – Keywords real-time control
  • Computer Vision – Detection & recognition of object and biology (Face, Body, Gesture), vSLAM
  • End-side AIoT – Edge computing, Info. Security, Off-line equipment control, System monitor
  • Sensor, Attendance machine, AD display, Wearable, devices, Smart unmanned retail, STEM education
  • Home & Building Automation – White goods, HVAC, Lighting, Security system, IoT gateways
  • Industrial Computing – EBS, PLCs, M2M, T&M, Auto-factory, HMI control assembly, QR/bar code
  • Motor Control & Power Conversion – VFC,FOC, 3D/thermal Printers, ADAS, UAV, Robots
  • STEAM education

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