Advantech’s MIC-720AI leverages AI inference technology to perform traffic monitoring on large amounts of collected data, surpassing traditional vehicle identification methods used for object tracking .

Basic information

The city is home to many people and types of transportation: bicycles, motorbikes, cars, buses and many intersections. Traffic management signals at intersections greatly affect traffic activities, specifically vehicles moving on the road. To achieve an effective and safe traffic solution, a more accurate traffic monitoring system is needed to calculate vehicle traffic and movement within the city.

Traditional methods such as ultrasound, ultrasonic radar, and infrared sensors cost too much to deploy or lack necessary recording details. Video signaling systems can overcome these shortcomings, and artificial intelligence (AI) can generate essential data. All information such as license plate, direction, waiting time… can be easily obtained using video equipped with an AI system based on edge computing platform. This is truly a revolution in traffic monitoring.

System requirements

The AI ​​traffic monitoring solution includes a self-adaptive traffic light monitoring system, an edge computing AI system, and an inference AI server system, all integrated into a pre-designed data stream. Edge computing AI system from IP Camera and content analysis using inference; PoE technology provides power to IP Cameras through RJ45 network ports, which will make it easier to mount cameras in remote areas. Fanless design, low power consumption and the ability to operate at a wide temperature range are necessary to meet the requirements of computer systems operating on the road or hanging on traffic pillars to control traffic. traffic light control.

After completing roadside traffic monitoring, the original data will be transferred to the central control room. The AI ​​inference server will leverage resources to ensure large inferences and can analyze a set of metadata through a previously trained deep learning model. Self-responsive traffic lights will then be controlled from the central room.

System description

The Advantech MIC-720AI product line is based on the NVIDIA Jetson Tegra X2 platform that has been used in the edge computing AI system. MIC-720AI is integrated with AI artificial intelligence inference technology to perform monitoring of large-capacity collection data, surpassing traditional vehicle identification methods. The MIC-720AI meets the intensive requirements of on-the-road computers, where metadata is compressed and transmitted to the central operations room. MIC-720AI also provides a variety of interface ports to integrate with transportation system devices.

Integrated with an intuitive dashboard located in the control room, the SKY-6100 AI inference server not only receives metadata from all advanced AI systems but also monitors all common traffic situations. through deep learning computer models. If any unusual situation occurs, the AI ​​server can recognize it and manage the traffic light accordingly. Through the analytical power of SKY-6100, the self-adaptive traffic signal control system helps traffic in the city flow more smoothly and efficiently. City authorities can now get a high-level, in-depth overview of all traffic situations in the city in real time. Furthermore, continuous traffic data and information is needed to evaluate current and past performance and to predict future performance. All this helps proactive transportation planning such as traffic impact assessment, public transportation and road design to create better transportation infrastructure in the future.

Outstanding features

– AI-integrated smart traffic tracking solution is designed with quality end-to-end data flow transmission.

– Industrial advanced AI systems enable roadside AI computing

– The advanced research computer at the back will control the traffic lights to adapt themselves.

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