AD-MIC-733-AO

AI System based on NVIDIA Jetson AGX Orin

Anewtech-Systems Embedded-PC Advantech NVIDIA Jetson AI Inference System AD-MIC-733-AO
  • NVIDIA Jetson AGX Orin embedded
  • Fanless compact design
  • Support 2x mPCIe with 1x Nano SIM slot
  • Support 1x M.2 2280 (NVMe) + 1x M.2 3052
  • Support 4x GbE (optional PoE, IEEE 802.3af/at)
  • Support PCIex8 add on card by iModule
  • Support 24/7 secure remote monitoring, control, and OTA deployment empowered by Allxon
Datasheet
AD-MIC-733-AO.pdf
Product Specification

Anewtech-AI-Inference-System-AD-MIC-733 Advantech Embedded PC

Aimed at helping AI developers in manufacturing and smart city industries, AD-MIC-733 comprises a compact fanless computing system with diverse I/O and peripherals. Buttressed by 24/7 remote management support and accommodation for board support package (BSP), AD-MIC-733 is designed for AI+5G application.

AD-MIC-733 — an NVIDIA® Jetson AGX Orin™-based AI computing system — is now a Microsoft Azure Certified Device and features a validated Edge Managed Program. Microsoft Azure Certification enables AD-MIC-733 customers to get IoT solutions up and running quickly and safely using pre-tested hardware and software validated to work with Azure IoT.

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Use Cases - Intelligent Traffic Monitoring System

Anewtech-Systems-AI-Edge-system-MIC-733-AO-Advantech

Benefit

Video detection systems can overcome disadvantages of tradition traffic sensors and can, with AI, generate essential traffic metadata. Information such as vehicle numbers, direction, waiting times etc. can all easily be acquired using video equipped with edge-based AI systems. It is a revolution in traffic monitoring.

Challenges

To choose a system deployed at the roadside, there are critical environmental conditions needed to be taken into consideration. PoE is a must to avoid the complexity of camera integration. Wireless communication like WIFI, 4G/LTE or even 5G is used to transmit the AI metadata to the backend server in ITS.

Solution

AD-MIC-733-AO grabs video streams from the IP cameras and then analyzes the content using inference. PoE makes it much easier to deploy multiple cameras. Low power consumption, fanless design, and wide-temperature functions were necessary to meet the requirement as a road-side system. Through the analytic power of server, the self-adaptive traffic signal control system makes the traffic in the city flow smoothly and efficiently.