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 gate ways

• 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
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