I will build a real time computer vision system
About this Gig
What I deliver
I build real-time computer vision systems using Python, YOLOv8, and OpenCV custom pipelines tailored to your specific use case, not generic tutorials repacked as a service.
My work includes a deployed multi-model vision system combining YOLOv8 object detection, MiDaS depth estimation, and ByteTrack multi-object tracking, running fully offline at 1215 FPS on edge hardware. That is the level of work you can expect.
This gig covers:
- Real-time object detection on video files or live webcam feed
- Multi-object tracking with unique ID assignment per object
- Depth estimation and spatial awareness layers
- Custom output audio alerts, CSV logs, on-screen overlays
- Clean, documented, ready-to-run Python code
Who this is for:
Researchers, startups, and hardware developers who need a reliable, production-grade computer vision pipeline built by someone who has actually shipped one.
What I need from you:
A clear brief your use case, target objects, hardware specs if relevant, and preferred output format. The more specific you are, the better the result.
Delivery includes full source code and a working demo video for every package.
If your requirement does not fit a standard package, mes
APIs:
Other
Programming language:
Python
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MATLAB
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SQL
Tools:
OpenCV
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PyTorch
Frameworks:
DeepPy
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PyTorch
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Panda
