Difference between revisions of "BPI-EAI80 AI board"

From Banana Pi Wiki
Jump to: navigation, search
(Blanked the page)
Line 1: Line 1:
= Introduction=
[[File:Banana_PI_BPI-EAI80_3.JPG|thumb|BPI-EAI80 AI board Gree EAI80 chip design]]
[[File:Banana_PI_BPI-EAI80_5.JPG|thumb|[[BPI-EAI80 AI board]] Gree EAI80 chip design]]
[[File:BPI-AI_1.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]]
[[File:BPI-K210_1.JPG|thumb|[[BPI-K210 RISC-V AIoT board]]]]
BPI-EAI80 board use Edgeless EAI80 chip design .
=About Edgeless EAI series=
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
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

Latest revision as of 19:41, 17 April 2020