Banana PI BPI EAI 80 Board +7 Inch Touch Screen + OV5640 Camera Module+ Adapter Kit

Epacket logistics is expected to be 15-30 working days,and slow update of logistics informations, If you mind ,please choose the fast logistics channel . Thank you : )

• 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

  

  Source code

  • Please from BPI web Github page to download it , or please contact us 

  Software

  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

  

  Introduction BPI-7 Inch Touch Screen 

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  TFT LCD MODULE	S070WV20-CT16
  TP MODULE	FT5306
  Size	7.0 inches
  Resolution	800 (RGB) x 480
  Interface	RGB MIPI
  Connect type	Connector
  Color Depth	262K
  Display element	a-si
  Display Spec. Pixel pitch (mm)	0.192 x 0.1805
  Pixel Configuration	R.G.B. Vertical Stripe
  Display Mode	Normally White
  Driver IC	HX8254-D, HX8664-B
  Surface Treatment	HC
  Viewing Direction	6 O'clock
  LCM(WxHxD) (mm)	164.9 X 100.0 X 5
  Active Area(mm)	154.08 X 85.92
  With / Without TSP	With CTP
  Weight (g)	TBD
  LED Numbers	27 LEDS

  
   
• Kit include
  • 1. BPI-EAI 80 board
  • 2. BPI 7 Inch MIPI touch screen
  • 3. BPI OV 5640 Camera Module
  • 4. BPI 5V2A TYPC Adapter (EU or US)