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CuteDigi

Industry PC AI Edge Computing Box Powered by 11th Gen Intel® Core™-i5

$1,100.00

Industry PC AI Edge Computing Box Powered by 11th Gen Intel® Core™-i5

$1,100.00
SKU:
I5-1135G7
Weight:
3.00 LBS
Shipping:
Calculated at checkout
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Product Description

A fan-less Industry PC powered by 11th Gen Intel® Core™.

 

Key Features:

  1. The whole device is sealed and fan-free design, integrating AI calculation and industrial control characteristics.
  2. Graphene heat dissipation system to achieve higher heat dissipation efficiency
  3. The new 11th Gen Intel® Core™ Tiger Lake embedded CPU provides AI computing ability to meet the requirements of AI edge computing application scenarios
  4. 2x gigabit network ports and 6x serial ports (protected by isolation, lightning surge, and ESD) to ensure the reliable and stable operation of the system in complex environments
  5. The device has low power consumption, excellent performance, strong environmental adaptability, widely used in machine vision, highway, lane control, mechanical testing equipment, intelligent transportation, intelligent factory, intelligent power control, CNC equipment manufacturing; It can also be applied to VR, video surveillance, AI and deep learning.

 

Specifications:

 

 
Specifications
 
 
Model
 
 
I5-1135G7  (8G DRAM+128G SSD)
System
 
CPU
 
11th Gen Intel® Core™ Tiger Lake IoT Processor
 
I3-1115G4 3.0GHz-4.1GHz 2Core 28W Intel website, GPU: Intel UHD (G4)
I5-1135G7 2.4GHz-4.2GHz 4Core 28W
I7-1165G7 2.8GHz-4.7GHz 4Core 28W
 
Memory
 
Onboard SDRAM LPDDR4 8GB (can be expanded to 24GB)
 
Storage
 
1x 2.5-inch shock-absorption hard disk installation position,Standard configuration
2x M.2 2280 NVMe port
1x mSATA port
 
Extension
 
1* Mini-PCIe expansion slot (with 1*SIM card slot)
2*M.2 Standard configuration (optional 2* Mini-PCIe, Co-Lay)
 
System support
 
Windows 10 64bit, Ubuntu, Red Hat
 
Display
 
HDMI*3+VGA (internal reserved eDP port, either VGA or eDP)
 
Wireless communication
 
Wi-Fi (Optional, not installed by default).  The PCI-E WiFi card model is AzureWave AW-CB161H.
Network port
 
2*10/100/1000Mbps RJ45 network ports
 
General
 
Power Supply
 
The adapter supports 9 to 36V DC wide input voltage
 
Working Temperature
 
-10℃ ~ 60℃ (non-condensing)
 
Working humidity
 
5% to 90% (non-condensing)
 
Dimensions
 
200.6mm *232mm *68mm (no expansion) / 228.2mm *232mm *73mm (with wall mounting strip)
 

 

 

Interfaces:

6ba1d6c1-b976-4ffd-b9c7-04205aec3076.png

WiFI:

WiFi is optional, and is not installed by default. It can be installed by PCi-E WiFI card. The model is AzureWave AW-CB161H.

 

How RS232 ports are mapped to  /dev/tty*  

 

The COM(1-6) corresponds to /dev/ttyS(0-5)

 3ccd5ce5-58f9-4222-ae54-21cceb310855.png

 

 2d6013a9-9734-4e46-a650-f74b52694a40.png

 

 

Intel® software for general purpose GPU capabilities:

 

 

OpenCL:

https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-focal.html
 

OpenVINO:

The OpenVINO toolkit is a comprehensive toolkit for deploying edge machine learning applications such as computer vision, speech recognition, natural language processing, recommendation systems and more on Intel hardware. With support for modern neural network architectures including convolutional neural networks, recurrent and attention-based networks, OpenVINO was designed as an end-to-end solution that standardises, optimises and finally deploys your edge machine learning workloads effectively.
 
 
OpenVINO’s Core Features
  • Enables CNN-based deep learning inference on the edge
  • Supports seamless, integrated heterogeneous execution across Intel Hardware:
    • Intel® CPUs
  • Intel® Processor Graphics
  • Intel® Neural Compute Stick 2
  • Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
  • Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels
  • Includes optimized calls for computer vision standards, including OpenCV and OpenCL™
OpenVINO Intel Website: https://docs.openvino.ai/latest/index.html
 

  

Frigate NVR

NVR with realtime local object detection for IP cameras:https://github.com/blakeblackshear/frigate
There are two modes to run Frigate NVR: one is to run is as addon to Home Assistant (Home Assistant OS is a powerful home automation operation system that is compatible with many home automation devices out there), the other is to run standalone. We will only discuss how to the add-on mode.
 

Add-on mode to Home Assistant OS

  • https://learn.linksprite.com/project/install-frigate-nvr-and-home-assistant-on-jovision-ai-box/
  • https://learn.linksprite.com/project/install-frigate-nvr-and-home-assistant-on-jovision-ai-box-2/

 

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