I will build a real time vehicle detection, tracking and counting system using yolov9

Struggling to build a reliable real time vehicle detection, tracking and counting system using yolov9? Traffic monitoring demands high precision, and generic scripts often fail under occlusions or dense urban traffic.

As a computer vision specialist, I build custom AI pipelines using YOLOv9 and DeepSORT. You get accurate vehicle identification, trajectory tracking, and automated counting tailored precisely to your surveillance feeds.

What this service includes:

• YOLOv9 model configuration & weights setup
• DeepSORT multi-object tracking integration
• Line-crossing or ROI zone vehicle counting logic
• Bounding box visualization & custom labels
• Clean, commented Python source code
• Processed test video output & documentation

Why choose me?

I deliver high mAP accuracy, optimized inference speeds, and clean, modular code ready for immediate deployment. Turn raw video footage into actionable traffic insights seamlessly.

Ready to upgrade your traffic monitoring system? Send me a message now to discuss your project requirements!