Difference between revisions of "BPI-EAI80 AIoT board"
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| + | [[zh:BPI-EAI80 AIoT 开发板 ]] | ||
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= Introduction BPI-EAI80 = | = Introduction BPI-EAI80 = | ||
[[File:Banana_PI_BPI-EAI80_3.JPG|thumb|BPI-EAI80 AI board Gree EAI80 chip design]] | [[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 | + | [[File:Banana_PI_BPI-EAI80_5.JPG|thumb|[[BPI-EAI80 AIoT board]] Gree EAI80 chip design]] |
[[File:BPI-AI_1.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]] | [[File:BPI-AI_1.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]] | ||
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]] | [[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]] | ||
| Line 7: | Line 9: | ||
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 | ||
| + | |||
| + | Development board is equipped with CAN bus double microphone single camera USB 2.0 Type - C, 1024 * 768 resolution touch-screen TFT - LCD interface, support arousal and battery backup domain, low power consumption biggest provide 8 MB SDRAM + 32 MB SPI Nor the combination of Flash, and to provide regular cooperate ESP8266 debug the interrupt and reset, CAN realize remote control access to network resources and OTA upgrade EAI80 built-in high-performance multimedia module, image transmission channels and dedicated including aliasing fusion scale format conversionCorner detection function, such as pretreatment of audio supports up to 8 road PDM/I2S microphone, chip other functions CAN be realized through GPIO port multiplexing and simulated users and developers CAN take advantage of the MCU control the acceleration of NPU interaction, and CAN bus for industrial application before join audio and video processing and recognition ability, for the product CAN assign and sped up | ||
| + | |||
| + | ==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= | ||
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[[File:Banana_PI_BPI-EAI80_interface_750.JPG]] | [[File:Banana_PI_BPI-EAI80_interface_750.JPG]] | ||
| + | |||
| + | =Source code= | ||
| + | *github: https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp | ||
=Software= | =Software= | ||
| + | |||
| + | ==Linux SDK Compile and burn == | ||
| + | |||
| + | *1. [[EAI80 Burning Steps (Elementary)]] | ||
| + | *2. [[BPI-EAI80 Compiling Steps]] | ||
| + | |||
| + | ==BPI-EAI80 board , EAISeries SDK UserGride== | ||
| + | |||
| + | BPI-EAI80 board , EAISeries SDK UserGride: | ||
| + | |||
| + | https://drive.google.com/file/d/18kmhdspeWu05nkt3DMM2rAd1oz-30rQR/view?usp=sharing | ||
| + | |||
| + | please install KeliSDK: | ||
| + | |||
| + | https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/tree/master/KelisSDK | ||
| + | |||
| + | https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/blob/master/Keil.EAISeries_DFP.1.4.1.pack | ||
| + | |||
| + | windows version: | ||
| + | |||
| + | https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/tree/master/KelisSDK | ||
| + | |||
| + | |||
| + | 1. Install EAI80 SDK (windows ) | ||
| + | 2. PLease install ※Keil.EAISeries_DFP.1.4.1.pack§first; | ||
| + | 3. Demo board should connect with PC through J-Link and SWD interface. All the operations refer to "EAISeries_SDK_UserGuide" in detail. | ||
| + | |||
| + | EAI80 Demo: | ||
| + | |||
| + | Demo path: EAI80_SDK_v1.0\ugelis\kelis_example\ai_example\ai | ||
| + | Demo functions: | ||
| + | * 1st.Voice - Key words recognition; | ||
| + | * 2rd.Computer Vision - Hand gesture detection and recognition; | ||
| + | * 3nd.Computer Vision - Human dody detection. | ||
=About Edgeless EAI series= | =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 | EAI series crossover AI MCU, CPU core is based on ARM Cortex-M4, ARMv7-M supports a | ||
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* Edgeless EAI series datasheet: https://drive.google.com/file/d/1KSOOAXKe0eLpXGxulQPzuoHqoMPqTq99/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 | * Edgeless EAI series reference manual : https://drive.google.com/file/d/1oviJX3j_HNM-kNA8Ceszbke5KXs3yXua/view?usp=sharing | ||
| + | |||
| + | =BPI-EAI80 documents= | ||
| + | * BPI-EAI80 schematic diagram : https://drive.google.com/file/d/1a27BvSpw7314g5uOAY3xEQFU4kjrPdr5/view?usp=sharing | ||
| + | * BPI-EAI80 DXF file: https://drive.google.com/file/d/1wfhftKp9zLj7PPmP7t14Y5H0cIuSXwGs/view?usp=sharing | ||
| + | * Edgeless EAI series uGelis reference manual :https://drive.google.com/file/d/18rZth2K3mjTjVxeSC-CQBYwuLXqfI06d/view?usp=drivesdk | ||
| + | * Edgeless EAI uGelis Ubuntu SDK Environments Establishment : https://drive.google.com/file/d/1ua8qQL3Ebqfy7DRSyUPVjw0x7US02Y1W/view?usp=drivesdk | ||
| + | * BPI-EAI80 ESP8266 module default FW, if you want use this file ,you can burn it to ESP8266 by youself：https://drive.google.com/file/d/1wNCrayg0LcsNWinq1eGLdvr_XdTdMT9e/view?usp=drivesdk | ||
| + | * BananaPi BPI-EAI80 AIoT open source board function demo:https://www.youtube.com/watch?v=AH2n8tAE_Og | ||
| + | |||
| + | =easy to buy sample= | ||
| + | |||
| + | just BPI-EAI80 board: https://www.aliexpress.com/item/1005001514323399.html?spm=5261.ProductManageOnline.0.0.18e94edf6m7Z9f | ||
| + | |||
| + | BPI-EAI80 + 7 Inch Touch Screen + OV5640 camera + power:https://www.aliexpress.com/item/1005001514465394.html?spm=5261.ProductManageOnline.0.0.18e94edf6m7Z9f | ||
| + | |||
| + | taobao: https://item.taobao.com/item.htm?ft=t&id=627834108380 | ||
| + | |||
| + | OEM&ODM project: [email protected] [email protected] | ||
Latest revision as of 16:52, 28 December 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
Development board is equipped with CAN bus double microphone single camera USB 2.0 Type - C, 1024 * 768 resolution touch-screen TFT - LCD interface, support arousal and battery backup domain, low power consumption biggest provide 8 MB SDRAM + 32 MB SPI Nor the combination of Flash, and to provide regular cooperate ESP8266 debug the interrupt and reset, CAN realize remote control access to network resources and OTA upgrade EAI80 built-in high-performance multimedia module, image transmission channels and dedicated including aliasing fusion scale format conversionCorner detection function, such as pretreatment of audio supports up to 8 road PDM/I2S microphone, chip other functions CAN be realized through GPIO port multiplexing and simulated users and developers CAN take advantage of the MCU control the acceleration of NPU interaction, and CAN bus for industrial application before join audio and video processing and recognition ability, for the product CAN assign and sped up
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
Source code
Software
Linux SDK Compile and burn
BPI-EAI80 board , EAISeries SDK UserGride
BPI-EAI80 board , EAISeries SDK UserGride:
https://drive.google.com/file/d/18kmhdspeWu05nkt3DMM2rAd1oz-30rQR/view?usp=sharing
please install KeliSDK:
https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/tree/master/KelisSDK
https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/blob/master/Keil.EAISeries_DFP.1.4.1.pack
windows version:
https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/tree/master/KelisSDK
1. Install EAI80 SDK (windows )
2. PLease install ※Keil.EAISeries_DFP.1.4.1.pack§first;
3. Demo board should connect with PC through J-Link and SWD interface. All the operations refer to "EAISeries_SDK_UserGuide" in detail.
EAI80 Demo:
Demo path: EAI80_SDK_v1.0\ugelis\kelis_example\ai_example\ai Demo functions:
- 1st.Voice - Key words recognition;
- 2rd.Computer Vision - Hand gesture detection and recognition;
- 3nd.Computer Vision - Human dody detection.
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
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
BPI-EAI80 documents
- BPI-EAI80 schematic diagram : https://drive.google.com/file/d/1a27BvSpw7314g5uOAY3xEQFU4kjrPdr5/view?usp=sharing
- BPI-EAI80 DXF file: https://drive.google.com/file/d/1wfhftKp9zLj7PPmP7t14Y5H0cIuSXwGs/view?usp=sharing
- Edgeless EAI series uGelis reference manual :https://drive.google.com/file/d/18rZth2K3mjTjVxeSC-CQBYwuLXqfI06d/view?usp=drivesdk
- Edgeless EAI uGelis Ubuntu SDK Environments Establishment : https://drive.google.com/file/d/1ua8qQL3Ebqfy7DRSyUPVjw0x7US02Y1W/view?usp=drivesdk
- BPI-EAI80 ESP8266 module default FW, if you want use this file ,you can burn it to ESP8266 by youself：https://drive.google.com/file/d/1wNCrayg0LcsNWinq1eGLdvr_XdTdMT9e/view?usp=drivesdk
- BananaPi BPI-EAI80 AIoT open source board function demo:https://www.youtube.com/watch?v=AH2n8tAE_Og
easy to buy sample
just BPI-EAI80 board: https://www.aliexpress.com/item/1005001514323399.html?spm=5261.ProductManageOnline.0.0.18e94edf6m7Z9f
BPI-EAI80 + 7 Inch Touch Screen + OV5640 camera + power:https://www.aliexpress.com/item/1005001514465394.html?spm=5261.ProductManageOnline.0.0.18e94edf6m7Z9f
taobao: https://item.taobao.com/item.htm?ft=t&id=627834108380
OEM&ODM project: [email protected] [email protected]
