I will build a realtime object detection system using yolo and opencv2

I can build real-time object detection systems using YOLO for CCTV surveillance, industrial automation, retail analytics, vehicle detection, people tracking, and more. If you have a custom use case, I can tailor the solution accordingly.

Yes. I can train a custom YOLO model on your dataset to detect specific objects relevant to your business. This ensures higher accuracy compared to generic pre-trained models.

Absolutely. I develop systems that support real-time detection on live video streams, including CCTV cameras, webcams, and recorded video files.

Yes, you will receive clean, well-structured Python code with proper documentation so you can understand and extend the system easily.

Yes. I can integrate the object detection system into your existing application using APIs (Flask/FastAPI) or provide deployment support based on your requirements.

It depends on your project. Typically: Your use case or problem statement Sample images/videos (if custom detection is needed) Any specific requirements or features

Accuracy depends on the dataset and use case. For custom-trained models with quality data, high accuracy can be achieved. I also optimize for performance and real-world conditions.

Yes. I provide revisions based on the package and can also offer post-delivery support if needed.