Enabling Real-Time Traffic Analytics with Edge AI Intelligence - Lanner Electronics | Network Appliance | uCPE SD-WAN| MEC Server | Intelligent Edge Appliance

Urban mobility is increasingly strained by congestion, traffic violations, and inefficient parking—challenges that demand smarter, real-time traffic management. Lanner, together with DataFromSky, offers an advanced AI-powered solution that turns standard IP cameras into intelligent traffic sensors. By processing video at the edge, directly inside traffic controllers, this joint solution delivers immediate insights and automated control capabilities for modern cities.

The Solution

At the heart of this deployment is the Lanner EAI-I131, a rugged Edge AI computer powered by NVIDIA Jetson Orin, capable of delivering up to 100 TOPS of AI performance. Integrated with DataFromSky’s Flow platform, this solution collects real-time video data from multiple cameras and runs deep learning models right at the edge, removing the need for cloud-based processing.

This enables real-time traffic analysis across a variety of use cases:

Intersection Monitoring: Optimize traffic light timing based on real-time queue detection and flow analysis to increase throughput at busy intersections.

Tunnel Safety: Detect smoke, fire, fallen objects, pedestrian intrusions, or any abnormal events inside tunnels using AI-based object tracking.

Road Surveillance: Identify and report traffic violations like speeding or improper lane changes instantly, supporting law enforcement and safety initiatives.

Parking Management: Accurately detect free and occupied spaces to streamline parking operations and reduce idle driving time.

Edge AI Appliance EAI-I131

The EAI-I131 is purpose-built for rugged environments, with a fanless IP40-rated design and an extended temperature range of -40°C to 75°C. It seamlessly integrates with the NVIDIA JetPack SDK, providing access to Jetson Linux, CUDA-X libraries, and powerful AI tools. Rich I/O options, including PoE, COM, USB, and wireless support (LTE/5G/Wi-Fi), make it the ideal all-in-one platform for edge AI traffic deployments.

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