I will build a real time ai object detection system using yolov8 and python
I build production ready AI systems, RAG chatbots, computer vision, ML APIs
About this Gig
I've deployed live AI safety monitoring systems across construction sites in Saudi Arabia and Bahrain 50 concurrent RTSP camera streams, 40 FPS inference, 88% detection accuracy in real production environments.
I build custom computer vision systems using YOLOv8, OpenCV, and Python for clients who need real results, not demos.
What I can build for you:
- PPE detection (helmets, vests, gloves, goggles)
- Real-time CCTV and RTSP stream monitoring
- Multi-camera safety monitoring dashboards
- People counting and crowd analytics
- Vehicle detection and zone intrusion alerts
- Pose-based fall detection
- Custom object detection for any use case
Tech stack:
YOLOv8 / YOLOv5 · ByteTrack · OpenCV · FastAPI · Python · GPU inference optimization · NVIDIA CUDA
What you get:
- Fully working Python codebase
- FastAPI backend with REST endpoints
- Setup and deployment documentation
- Source code + inference scripts
- Post-delivery support
Whether you need a quick proof of concept or a full production system across multiple cameras, I'll scope it correctly and deliver clean, documented code.
Message me before ordering if you have a custom use case.
My Portfolio
FAQ
Do you work with existing CCTV cameras?
Yes. I work with any IP camera, webcam, RTSP stream, or recorded video footage. Share your camera model or stream URL and I'll confirm compatibility before we start.
Can you detect custom objects beyond PPE?
Yes. I can train or fine-tune YOLO models on custom datasets for any object class. Share your use case and I'll advise on data requirements.
What if I don't have a GPU server?
I can optimize inference for CPU environments or advise on affordable GPU hosting options. The Basic package runs on standard hardware.

