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I will build yolov8 object detection tracking and small opencv
Fatima Noor
About this gig
Struggling to get insights from your CCTV or product videos?
Most AI solutions are too complex, and you don't have time to waste. What you really need is a fast, lightweight computer vision app that just works.
Thats exactly what I deliver. Using YOLOv8 + OpenCV, I build smart Python solutions for:
- PPE & helmet detection
- Vehicle & product tracking
- People counting with zones/line-crossing
- ANPR (license plate recognition)
- Pose & hand tracking (on request)
Youll get clean code, simple docs, a demo video, and CPU-friendly settings you can see results instantly.
Get to know Fatima Noor
Fatima Noor
YOLOv8 OpenCV Computer Vision, Tech Writer 5 years
- FromPakistan
- Member sinceSep 2018
- Last delivery1 year
Languages
Urdu, English, Hindi
I build fast, reliable computer vision solutions with YOLOv8 and OpenCV: object detection, tracking, people counting, and ANPR. Deliverables include clean Python code, reproducible env files, and short demos—plus lightweight Streamlit or FastAPI apps when needed.
I also provide SEO technical writing and programming blog posts that rank and teach, covering Python, Golang, and Java with clear examples and docs.
FAQ
What do you need to start?
A 15–30s sample video (or 10–20 images), your target classes (e.g., helmet, plate), and any accuracy/FPS goals or platform limits (CPU/GPU, OS).
Do you provide source code?
Yes—Python code, requirements.txt, configs, and a README in all packages.
What if I’m not sure which package fits?
Message me with a sample video and your goal. I’ll suggest the smallest, fastest option that meets your needs.
