Difference between revisions of "BPI-EAI80 AIoT board"
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BPI-EAI80 AIoT board use Edgeless EAI80 chip design .it have Dual-Cortex M4F@200MHz 500DMIPS and AI-NPU：CNN-NPU @300 MHz 300GOPS. support LVDS pannel and camera interface. onboard wifi | BPI-EAI80 AIoT board use Edgeless EAI80 chip design .it have Dual-Cortex M4F@200MHz 500DMIPS and AI-NPU：CNN-NPU @300 MHz 300GOPS. support LVDS pannel and camera interface. onboard wifi | ||
| − | Target Applications | + | ==Target Applications== |
*Voice Control - Key words real-time control | *Voice Control - Key words real-time control | ||
Revision as of 17:11, 22 April 2020
Contents
Introduction BPI-EAI80
BPI-EAI80 AIoT board use Edgeless EAI80 chip design .it have Dual-Cortex M4F@200MHz 500DMIPS and AI-NPU：CNN-NPU @300 MHz 300GOPS. support LVDS pannel and camera interface. onboard wifi
Target Applications
- Voice Control - Key words 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
Hardware
Hardware Spec
- 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
Hardware interface
Software
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 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
EAI series Documents
- Edgeless EAI series Whitepaper and Embedded AI MCU : https://drive.google.com/file/d/16y-UTRYJbohEmt7lzjNBpO_yiRf6Jwur/view?usp=sharing
- Edgeless EAI series datasheet: https://drive.google.com/file/d/1KSOOAXKe0eLpXGxulQPzuoHqoMPqTq99/view?usp=sharing
- Edgeless EAI series reference manual : https://drive.google.com/file/d/1oviJX3j_HNM-kNA8Ceszbke5KXs3yXua/view?usp=sharing
