Edge AI Inference Embedded System

FEBM7H00C

Edge AI Inference Embedded System
* Power Efficiency AI Edge System
* ARM Based CPU, Dual-core Cortex-A72 1.8GHz + Quad-core Cortex-A53 up to 1.5GHz.
* Empowered by Hailo-8 M.2 AI module up to 26 TOPS
* Compact Fanless Design, 158 x 124.7 x 47.5 mm (W/ D/ H)
* Rich AI toolkits for runtime integration and model deployment
* Optional -20~60°C wide temperature and 9-36V wide voltage
Product Features
 Power Efficiency AI Edge System
 ARM Based CPU, Dual-core Cortex-A72 1.8GHz + Quad-core Cortex-A53 up to 1.5GHz.
 Empowered by Hailo-8 M.2 AI module up to 26 TOPS
 Compact Fanless Design, 158 x 124.7 x 47.5 mm (W/ D/ H)
 Rich AI toolkits for runtime integration and model deployment
 Optional -20~60°C wide temperature and 9-36V wide voltage
Specification
Chassis
  • Metal Cover + Casting Aluminum Sink
  • Dimensions (mm): 158 x 124.7 x 47.5 mm (W/ D/ H)
  • Color: Black
  • Fan-less
Processor (Dual-core Cortex-A72 up to 1.8GHz) + (Quad-core Cortex-A53 up to 1.5GHz)
Memory LPDDR3-1866-2GB (Up to 4GB)
Storage
  • eMMC-32GB
  • 1 x Micro SD/SDHC slot (Up to 1TB)
Video Output 1 x HDMI
I/O Port
  • 1 x GigE RJ45 (Optional support PoE, 802.3 AT)
  • 1 x USB 3.2 Type A, support OTG
  • 1 x USB 2.0 Type A
AI Accelerator Module Hailo-8 M.2 Interface, up to 26 TOPS
Operating System Ubuntu 20.04 LTS
Power
  • DC 12V DC Jack Input
  • Consumption: Max. 22W (Motherboard: 15W + AI Module: 7W)
Mounting
  • Desk Mount
  • Din-Rail Mount
Reliability
  • Operating Temperature -10°C ~ 60°C with air flow
  • Storage Temperature -20°C ~ 70°C
  • Humidity 10% ~ 90%, non-condensing
  • Weight(Net) 1.35 Kg
  • Safety/EMC CE/FCC class-B compliant
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