导轨式系统
边缘人工智能 & 视觉学习

SKY 2 - 2I110D + Hailo-8™

Computing Vision IPC w /
11th Gen Intel® Core i Series CPU &
Pre-installed M.2 Hailo-8™ AI Accelerator

概览

SKY 2 2I110D 是一款緊湊型無風扇 DIN 導軌計算機,尺寸僅 71.9 x 111.2 x 141 毫米。它採用第 11 代英特爾® Tiger Lake-UP3 i7/i5/i3/Celeron 處理器,旨在提供強大的邊緣 AI 解決方案。

 

SKY 2 2I110D 配備多個I/O,例如HDMI、4 x 2.5 Gb 乙太網路連接埠、3 x USB 3.2 連接埠、2 x USB 2.0 連接埠和2 x COM 連接埠以及用於工業通訊和控制的可選隔離數位I /O 。

 

此外,透過採用M.2插槽,SKY 2 2I110D可以輕鬆安裝用於AI應用的Hailo-8™ AI加速模組。 Hailo-8™邊緣AI模組透過最大限度地發揮Edge AI的力量並幫助客戶加快上市時間,提供與LEX SKY 2 2I110D系統的高度相容性。 SKY 2 2I110D 與 Hailo-8™ 模組的配對使開發人員能夠以低功耗運行複雜的深度學習和機器視覺應用程式。

 

 

特点

  • 11th Gen Intel® Tiger Lake-UP3, i7 / i5 / i3 / Celeron CPU
  • Pre-installed M.2 Hailo-8™ AI Accelerator
  • 1 x DDR4 SODIMM socket, Max. 32GB
  • Independent display: HDMI
  • 4 x Intel GbE LAN, 3 x USB 3.2, 2 x USB 2.0, 2 x COM
  • 2 x M.2, 1 x Nano SIM

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MODEL SKY 2-2I110D + Hailo-8™
System Dimension(WxDxH) 141W x 111.2D x 71.9H mm
Weight(Incl.M/B) 1.25 kg
Mounting VESA Mount* (VESA 75), DIN-Rail Mount*,
Wall Mount*
CPU 11th Gen Intel® Tiger Lake-UP3, i7 / i5 / i3 / Celeron CPU
Chipset Intel Tiger Lake-UP3 SoC
AI Accelerator Pre-installed M.2 Hailo-8™ AI Accelerator
Memory 1 x DDR4 SODIMM socket, Max. 32GB
Storage M.2-SSD*
Expansion slots 1 x M.2 B key Type 3042 (PCIe x2 / USB 3.2 / 2.0)
1 x M.2 M key Type 2242 (PCIe x4 / SATA), Support NVMe
I/O portsNetwork 4 x Intel GbE (1 x I219LM + 3 x I225)
USB 3 x USB 3.2, 2 x USB 2.0
Serial ports 2 x RS232 / 422 / 485  
Display 1 x HDMI
SIM 1 x Nano SIM (M.2 B key, Type 3042 (NGFF1))
Optional Modules
& Accessory
GPS, Bluetooth, PoE, WiFi, 4G / 5G LTE, Isolated COM,
battery UPS, DI / DO, Video Input
*VESA Mounting Kit, DIN Rail Mounting Kit, *Wall Mount Kit
Power DC input : +12V 
AC input : External adapter 100 / 240V
AC-DC 60W (optional)
Operating Temp.
(100 % CPU usage)
-20°C to +60°C (Core i7 1185GRE)
Storage Temp. -20°C to +70°C 
Relative Humidity 95% @ 40°C, non-condensing 
OS Support  Windows® 10 IOT ; Windows® 11 IOT
Ubuntu 22.04 above, Ubuntu 22.04 host OS,
Hailo SW via Ubuntu container
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