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