Zhengzhou, Henan, China [email protected]
Whatsapp : +8613910832929
AI Edge Server for Intelligent Transportation Systems | Real-Time Traffic - Trusted Worldwide
Empower Real-Time Traffic Decisions with Edge Server Performance.
Upgrade to Smart Traffic Control | Optimize City Flow
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Standard ISO 9001/CE Marking/FCC Certification/IEC 62443/TISI/SIRIM/SNI/RoHS
MOQ 1 set, Fast Delivery: 7-15 Days
Our AI Intelligent Transportation Edge Server is engineered to process massive volumes of traffic data at the edge in real-time, supporting V2X communication and smart traffic signal systems. By combining AI algorithms with powerful edge computing capabilities, it enables low-latency decision-making for traffic flow optimization, vehicle recognition, congestion analysis, and emergency alerting.
With industrial-grade reliability, multiple I/O interfaces, and support for 5G, Wi-Fi, and Ethernet communication, the server seamlessly integrates with roadside units (RSUs), AI cameras, and traffic signal controllers. It is ideal for deployment in smart cities, highways, and urban intersections in Southeast Asia, Africa, and the Middle East.
White/Yellow/Blue/Other Colors
We welcome sample requests.
Road marking paint plays a vital role in traffic management, improving safety, efficiency, and organization across different environments. From highways to urban roads, and even specialized areas like transport hubs and industrial zones, high-quality road markings enhance visibility and guide road users effectively.
| Product Name | AI Intelligent Transportation Edge Server |
| Processor | NVIDIA® Jetson Xavier™ NX SOM with 6-core ARM CPU and 384-core Volta GPU |
| AI Performance | Up to 21 TOPS (INT8) for AI inference |
| Memory | 8GB/16GB 128-bit LPDDR4 |
| Storage | 16GB eMMC 5.1; 1 x M.2 2280/3080 Key M PCIe 3.0 x4 NVMe SSD; 1 x microSD slot |
| Expansion Slots | 1 x Full-size mPCIe; 1 x M.2 3042/3052 Key B with dual micro SIM slots |
| Display Output | 1 x HDMI 2.0A/B, supporting up to 3840 x 2160@60Hz |
| Networking | 4 x GbE PoE+ ports for IP cameras/LiDAR sensors; 1 x GbE port |
| Video Input | 4 x MIPI CSI-2 SerDes channels, supporting 1080p60/4Kp30 over 15m cables |
| USB Ports | 2 x USB 3.0 (USB 3.2 Gen1) Type-A; 1 x OTG micro USB |
| Serial Ports | 2 x RS232; 1 x Console port |
| Digital I/O | 4-bit input and 4-bit output, software-selectable source or external type |
| CAN Bus | 1 x CAN 2.0A/2.0B, 2.5KV isolated |
| GPS Module | U-blox NEO-M8N GNSS module; optional DR function with NEO-M8U/M8L |
| Power Supply | 9~36V DC-in with ignition control, OCP/OVP protection |
| Operating Temperature | -30°C to +70°C |
| Storage Temperature | -40°C to +85°C |
| Humidity | 10% to 95% (non-condensing) |
| Ingress Protection | IP67-rated rugged, fanless design |
| Certifications | CE, FCC Class A, UKCA, Emark (E13) |
| Operating System | NEXCOM Aided Linux (NAL) with NVIDIA® JetPack 4.6/5.1.3 integrated |
| Dimensions | 213mm x 167mm x 82.8mm (with mount bracket) |
| Weight | 2.4 kg |
It’s a high-performance device that processes traffic data locally (at the edge), enabling real-time decision-making for smart road systems without cloud dependency.
It communicates directly with RSUs, AI cameras, and signal controllers to optimize signal timing and relay V2X information, improving traffic flow and safety.
The server supports deep learning models for object detection, pedestrian recognition, congestion analysis, and violation alerts using frameworks like TensorFlow and PyTorch.
Yes, it’s designed with industrial-grade protection including wide-temperature tolerance, waterproof housing, and shock resistance.
It meets global and regional certifications, including CE, FCC, RoHS, and is adaptable for local standards in Southeast Asia, Africa, and the Middle East.
Superior Reflective Performance
Optimized Safety Solutions
Engineered Industrial Durability
Rapid Application Technology
Eco-Friendly Aesthetic Appeal
Vibrant, Long-Lasting Markings
Robust Corrosion Protection
High Visibility Assurance
We use this AI edge server in Malaysia for real-time traffic control. Its low latency analytics and AI edge computing greatly enhanced our intelligent transport system (ITS).
In Morocco, this AI transportation edge server handles traffic data processing with ease. It powers our smart mobility platform and ensures smooth, real-time traffic operations.
In Chile, we’ve deployed this edge server to manage AI edge computing and real-time traffic control. It processes large-scale traffic data and supports our growing smart mobility system.
This edge server in Oman boosts our intelligent transport system. The AI edge computing and low latency analytics help manage real-time traffic flows efficiently across our city network.
Kyrgyzstan’s ITS now uses this AI transportation edge server. It processes traffic data with low latency and supports AI edge computing for quick decision-making at intersections.
We use this AI edge server in Kenya for smart mobility and ITS. Its real-time traffic control capabilities and efficient data processing have helped us reduce urban congestion dramatically.
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