Traffic Analysis using
In this video I demonstrate a real‑time traffic analytics pipeline built around RF‑DETR. The system captures live video feeds, performs object detection for cars, trucks, buses, bikes and pedestrians, and displays dynamic counts in a vertical sidebar. It also overlays a live heatmap beside the annotated video so you can instantly see traffic density hotspots. The entire solution runs in real time, thanks to the efficiency of RF‑DETR’s transformer architecture. Compared to YOLO, RF‑DETR offers better long‑range context understanding and higher accuracy in complex scenes while still maintaining high FPS.
Who Needs This?
This pipeline is designed for anyone who needs actionable insights from video data: smart city planners, traffic management authorities, AI developers, autonomous vehicle researchers, and businesses looking to monitor parking lots or roadways. If you want to turn raw footage into a live dashboard of movement, this demo shows what’s possible.
Why You Need This
Real‑time analytics give you the power to detect congestion, understand traffic patterns, and improve safety. With RF‑DETR’s ability to capture long‑range dependencies and deliver multi‑view visualizations, you get deeper insights than traditional detectors can provide. Whether you’re optimizing signal timings, improving surveillance, or building intelligent transport systems, this technology can help.
How I Can Help
I build custom computer vision and AI solutions tailored to your needs—from prototyping to deployment. If you’d like to integrate this pipeline or need a bespoke analytics system, feel free to reach out.
📧 Email: [email protected]
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Let’s work together to create smarter, safer, and more efficient systems!