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I will build a qt desktop application with object detection


About this gig
Do you need a professional desktop application that can detect objects in real time using AI? I will build you a clean, responsive Qt interface integrated with YOLO (YOLOv5 / YOLOv8) for real-time object detection from live camera feeds, video files, or images.
This is a niche skill that combines two powerful technologies: Qt for the UI layer and YOLO for the AI detection layer. Most developers can do one or the other I do both.
- What I can build:
Qt desktop UI (C++ or Python/PyQt5) with professional layout
Real-time YOLO detection with bounding boxes, labels, and confidence scores
Support for webcam / IP camera / video file / image input
Customizable detection classes use pre-trained models or your own
FPS counter, detection log panel, start/stop/pause controls
Export detection results to CSV or image snapshots
- ️ Tech stack:
Qt 5 / Qt 6 (QML or Widgets)
YOLOv5 / YOLOv8 (Ultralytics)
OpenCV for frame processing
Python (PyQt5/PySide6) or C++ depending on your needs
- Use cases I've worked on:
Industrial quality inspection UI
Security camera monitoring dashboards
Embedded systems (Jetson Nano, Raspberry Pi) GUI
- Message me first tell me your use case and I'll confirm what's possible
Get to know Zhuoyang L
Image Algorithm Developer
- FromChina
- Member sinceApr 2026
- Avg. response time1 hour
Languages
English
FAQ
What information do you need to start?
Please share your requirements, any reference images or videos, target platform (Windows/Linux), and preferred Qt version.
Can you work with my existing codebase?
Yes, I can integrate new features into your existing Qt or OpenCV project. Please share the code beforehand so I can evaluate the scope.
Do you provide the source code?
Yes, full commented source code is included in all packages.

