Outline
    Background Information
    System Requirements
    System Description
    Key Features
    Why ProX PC
    Related Product

Background Information

Cities consist of roads and streets where all types of vehicles: pedestrian, bicycles, cars, and buses intersect. Traffic signal controls at intersections highly impact vehicle activity, conflicting movement and capacity. To achieve an effective transportation solution that maintains safety but also permits better traffic throughput, accurate traffic monitoring is needed to understand vehicle movements and flows throughout the city.

Traditional detection methods like ultrasonic, microwave radar, or infrared sensors either cost too much to deploy or lack the necessary recording detail. Video detection systems can overcome these disadvantages and can, with artificial intelligence (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.

System Requirements

The AI traffic monitoring solution included a self-adaptive traffic light system, edge AI system, and a backend AI inference server; all integrated into a carefully designed dataflow. The edge AI system grabs video streams from the IP cameras and then analyzes the content using inference. Power-over-Ethernet (PoE) supplies power to the IP cameras through a general purpose RJ45 LAN port, which makes it much easier to deploy cameras in remote areas. Low power consumption, fanless design, and wide-temperature functions were necessary to meet the requirement as a road-side system since the equipment would be hung on traffic signal structures to control traffic lights.

After traffic monitoring is completed at the road-side, the raw data will be transmitted back to the central control room. The AI inference server leverages high processing power to meet the massive inference processing requirements and to be able to analyze the set of metadata via pre-trained deep learning models. Then, the self-adaptive traffic lights can be managed from the traffic center control room.
 
System Description

ProX Micro Edge Device compact modular computer based on the NVIDIA Jetson Tegra X2 (TX2) was used as the edge AI system. ProX Micro Edge Device leverages AI inference technology to perform traffic monitoring on the massive amounts of collected data; surpassing traditional vehicle recognition methods used for object tracking. ProX Micro Edge Device fulfills deep learning computing requirements at the road-side where metadata is packaged and transmitted to the central control room. ProX Micro Edge Device also provides multiple interfaces to integrate with other traffic equipment.

Integrated with an intuitive dashboard in the control room, the SKY-6100 AI inference server not only receives metadata from all edge AI systems but also monitors all traffic conditions through deep learning models. If any abnormal situations occur, the AI server can recognize it and manage the traffic lights adaptively. Through the analytic power of SKY-6100, the self-adaptive traffic signal control system makes the traffic in the city flow smoothly and efficiently. Now, the city government can have a high-level overview of all traffic in the city in real time. Moreover, traffic data and information are constantly needed to assess current and past performance and to predict future performance. All this helps pro-active transportation planning such as traffic impact assessments, public transportation, and road design to make a better future transportation infrastructure.

Key Features
●    AI traffic monitoring solution with a well-designed end-to-end data flow.
●    Industrial edge AI system empowers AI computing at the road-side with minimum deployment effort.
●    Deep learning computing at the back-end permits self-adaptive traffic light control

Why ProX PC

To fulfill real-time traffic monitoring applications and self-adaptive traffic light control, a well-designed end-to-end dataflow is crucial. However, lots of traffic monitoring systems in the market are focusing on vehicle recognition and object counting but lack raw metadata transformation to make solutions practical. ProX PC provides an AI end-to-end solution and offers full range edge AI systems and AI inference systems, which have sufficient deep learning capabilities to perform AI inference.

The industrial grade ProX Micro Edge Device takes advantage of NVIDIA JETSON features to implement AI at the road-side.

SKY-6100 1U rackmount server supports up to 5x state-of-the-art NVIDIA TESLA P4 to analyze large-scale AI.

For more info visit www.proxpc.com

Related Product
 

ProX MicroEdge Orin Nano

• Compact AI accelerator with 6-core Arm® Cortex® CPU and 1024/512-core NVIDIA Ampere GPU with Tensor Cores
• 8GB/4GB of high-speed LPDDR5 memory and NVMe SSD
• Dual GbE ports, Wi-Fi options, and 4G/5G support
• Versatile I/O and robust features
• Ideal for data-intensive tasks and AI innovation

Learn more

ProX MicroEdge Orin NX

• Compact powerhouse that combines an 8/6-core Arm® Cortex® CPU, a 1024-core NVIDIA Ampere GPU with 32 Tensor Cores, and lightning-fast 128-bit LPDDR5 memory.
• Store and retrieve data seamlessly with an NVMe SSD and Micro SD slot.
• Stay connected with dual GbE ports, Wi-Fi options, and 4G/5G support.
• Versatile I/O options, including USB 3.1 and HDMI, make interfacing a breeze.
• Unlock the future of AI innovation with Jetson Orin NX.

Learn more

  

Workstations
AI System Based on NVIDIA Jetson® AGX Xavier
Learn more
  

Servers
Maestro Servers  is an AI smart city solution 

Learn more