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I will build a qt desktop application with object detection

N
nicolzy
N
nicolzy
Zhuoyang L

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

Zhuoyang L

Image Algorithm Developer

  • FromChina
  • Member sinceApr 2026
  • Avg. response time1 hour
  • Languages

    English
Application interface design and improvement, image processing, engineering thesis writing, Chinese (Mandarin) language learning, teaching of primary, junior high and senior high school mathematics;proofreading chinese;Chinese audio recording; procurement consultation; product sampling