I will do computer vision and object detection with yolo and opencv


About this gig
Need a computer vision system that actually works in production, not just a notebook demo?
I'm a Data Scientist / AI-ML Engineer (Master's in AI & Data Science) who built a real-time vehicle detection, tracking and license-plate recognition pipeline with YOLO and OpenCV, plus a full web app "OpenCV Image Studio" for image processing. During my internship at an automotive supplier I also built LSTM/GRU-based predictive models and real-time dashboards used on over 22,000 production tickets, so I know how to take a model from prototype to something a team actually relies on.
What you get:
- Custom object detection and tracking built with YOLO and OpenCV
- - Clean, documented Python code you fully own
- - A short demo video and, on higher tiers, a deployed web app with a results dashboard
- - Clear communication in English or French throughout the project
Typical use cases: vehicle/license-plate detection, people or product counting, surveillance and monitoring, quality-control inspection, and custom object classes.
Send me your images, video sample, or a short description of your use case before ordering so I can confirm the right package for you.
Get to know Anas
- FromMorocco
- Member sinceSep 2019
- Avg. response time1 hour
Languages
English, Arabic, French
FAQ
Can you work with my own dataset or video footage?
Yes. Send me a few sample images or a short video clip after ordering (or via the requirements form) and I'll confirm the setup before starting.
Will this run in real time and can it be deployed on my server?
Yes on the Standard and Premium packages, which include real-time processing with OpenCV. The Premium package adds a deployed Flask web app you can host on your own server or cloud.
Do I get the source code and can you add extra features later?
Yes, you own the full source code on every package. Extra features, fine-tuning or a custom integration beyond the package scope can be added as a paid add-on - just message me.

