I will build a real time people counting ai system with yolo

I build real-time people/object counting systems using YOLO (deep learning object detection) and OpenCV.

What you get:

-Real-time detection from video files or live webcam

-Bounding boxes drawn around each detected person/object

-Live count display on screen

-Crowd density indicator (Low / Medium / High) perfect for cafes, stores, and events

-GPU-accelerated processing for smooth real-time performance

-Clean, well-commented Python source code

Common use cases:

• Cafe / store occupancy monitoring
• Event crowd density tracking
• Security camera people counting
• Traffic / vehicle counting (customizable)
• Custom object detection for your specific needs

Optional add-ons:

• Crowd density website widget (live data sent to your site)
• Setup assistance via video call
• Fine-tuning for your specific camera angle and lighting

I use PyTorch and Ultralytics YOLO models, tested on GPU-accelerated hardware for real-time performance even in crowded scenes.

Message me before ordering so I can confirm your use case and recommend the right package for you.