I will build a custom ai computer vision system with python yolo opencv


About this gig
I build custom computer vision systems for real business and automation needs not just demos.
I can develop AI that detects, tracks, recognizes and analyzes objects, people and events in images and video using Python and modern computer vision models.
Some of the systems I have built:
- Player detection, tracking and identification (face + jersey) for sports match analysis
- Goal and foul detection with automatic event summaries
- Pose and skeleton analysis with ball and racket tracking
- Automatic video reframing based on face and speaker detection
I work with tools like Python, YOLO, PyTorch, OpenCV, MediaPipe, InsightFace and ONNX. I pick the right model for your problem rather than forcing one approach.
What you get is a working, runnable solution model integrated, processing pipeline built, and a usable output you can actually use.
Please contact me before ordering so I can understand your images, video or data and suggest the right approach and cost.
Get to know Touseeq-Ai
Full Stack AI Developer ComputerVision LLMs and RAG
- FromPakistan
- Member sinceAug 2022
- Avg. response time1 hour
Languages
Urdu, English, Chinese
My Portfolio
FAQ
Can you work with my existing AI model?
Yes. I can integrate, optimize, adapt or extend an existing model depending on what you need and what the project allows.
Can you build a complete computer vision pipeline?
Yes. I can handle detection, tracking, recognition, event analysis and integration as part of one workflow.
Do you work with video data?
Yes. I build systems for both recorded and real-time video analysis.
Can you integrate the AI into an app or website?
Yes. I can add the vision functionality into an existing or new application depending on the stack. I work with frontend + API + Python backends.
Which tools do you use?
Depends on the project. I commonly use YOLO, OpenCV, PyTorch, MediaPipe, InsightFace and ONNX, and I choose what fits best.
Can you train a custom model?
Yes, when the project has suitable labeled data and the training work makes sense for the goal.

